Статьи 2017 года (A...O)



Abbott R., Hadzikadic M. (2017). Complex Adaptive Systems, Systems Thinking, and Agent-Based Modeling. In Advanced Technologies, Systems, and Applications (pp. 1-8). Springer International Publishing.

Abohamad Waleed, Ramy Ahmed, Arisha Amr. A hybrid process-mining approach for simulation modeling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1527-1538.
This paper presents a hybrid Modeling and Simulation framework to address business process challenges.

Adduri Abhinav, Schruben Lee. The Tao of simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 607-616.
This paper introduces an open-source, cross-platform object called Tao to the simulation community for teaching and research. Tao is simple enough to begin using within minutes, but is extensible and interoperable with powerful statistical, graphical, animation, and simulation software, as well as internet-of-things hardware.

Ahmed Kishwar, Liu Jason, Badawy Abdel-Hameed, Eidenbenz Stephan. A brief history of HPC simulation and future challenges // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 419-430.
This paper recounts some of the influential work in modeling and simulation for High-performance Computing (HPC) systems and applications, identifies some of the major challenges, and outlines future research directions which we believe are critical to the HPC modeling and simulation community.

Alexopoulos Christos, Joines Jeffrey A., Kuhl Michael E. History of the Winter Simulation Conference: modern period (2008–2017) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.100-114.
In this paper we review the history of the Winter Simulation Conference during 2008–2017, a period characterized by financial stability, continued growth, and inroads into the new age of simulation. In particular, we trace the modernization of the Conference as well as its expansion outside of the United States for the first time.

Alexopoulos Christos, Kelton W. David. A concise history of simulation output analysis // // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.115-130.
This paper offers a concise history of simulation output statistical analysis during the last six decades. Given the space limitations and historical perspective, we focus on the creation of the main concepts and methodologies that shaped the area, and proceed with a brief description of their developmental stages. We direct most of our attention to mean and quantile estimation, especially for steady-state simulations, since the bulk of the literature has been in this area.

Alzaeemi S.A.S., Sathasivam S., Adebayo S.A. (2017). Analysis of Performance of Various Activation Functions for doing the logic programming in Hopfield Network // International Journal of Computational Bioinformatics and In Silico Modeling, 6(2), pp. 911-921.

Anderson J. H., Downs J. A., Loraamm R., Reader S. (2017). Agent-based simulation of Muscovy duck movements using observed habitat transition and distance frequencies. Computers, Environment and Urban Systems, 61, 49-55.

Babu Vignesh, Kumar Rakesh, Nguyen Hoang Hai, Nicol David M., Palani Kartik, Reed Elizabeth. Melody: synthesized datasets for evaluating intrusion detection systems for the smart grid // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1061-1072.
As smart grid systems become increasingly reliant on networks of control devices, attacks on their inherent security vulnerabilities could lead to catastrophic system failures. Network Intrusion Detection Systems (NIDS) detect such attacks by learning traffic patterns and finding anomalies in them. However, availability of data for robust training and evaluation of NIDS is rare due to associated operational and security risks of sharing such data. Consequently, we present Melody, a scalable framework for synthesizing such datasets.

Ballet P., Riviere J., Pothet A., Theron M., Pichavant K., Abautret F., ... & Rodin V. (2017). Modelling and Simulating Complex Systems in Biology: Introducing NetBioDyn–A Pedagogical and Intuitive Agent-Based Software. In Multi-Agent-Based Simulations Applied to Biological and Environmental Systems (pp. 128-158). IGI Global.

Barat Souvik, Kulkarni Vinay, Clark Tony, Barn Balbir. An actor-model based bottom-up simulation - an experiment on indian demonetisation initiative // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 860-871.
This paper justifies our claims with an experimental setup relying on what-if analysis using an actor-based bottom up simulation approach.

Barker Melanie, Zupick Nancy. Revisiting the four c’s of managing a successful simulation project // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 580-587.
This paper aims to discuss four key elements imperative to conducting an effective simulation study and how they impact the progress of the study.

Barrientos A.H., Andrade Y.D. (2017). Modelling and Simulation of Complex Adaptive System: The Diffusion of Socio-Environmental Innovation in the RENDRUS Network // In Cvetkovic, D (Ed.) Computer Simulation. InTech.

Barros Fernando J. Towards a universal formalism for modeling & simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 750-761.
In this paper, we propose the Hybrid Flow System
Specification (HYFLOW) as a unifying representation for different families of numerical integrators for solving ordinary differential equations (ODEs). HYFLOW combines the conventional discrete event approach with a novel representation based on sampling and the support for dense outputs to describe modular and hierarchical hybrid systems. We demonstrate that HYFLOW can describe 1st-order, geometric (2nd-order), and exponential integrators.

Barton Russell R., Joines Jeffrey A., Morrice Douglas J. History of the Winter Simulation Conference: period of growth, consolidation, and innovation (1993-2007) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.87-99.
In this paper, we consider the history of the Winter Simulation Conference (WSC) from 1993–2007, a period characterized by growth, consolidation, and innovation. We examine developments in the WSC program including rapid proliferation of new tracks and mini-tracks to match the interests of WSC attendees.

Barton Russell, Nakayama Marvin K., Schruben Lee. History of improving statistical efficiency // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.158-180.
Statistical efficiency has been a focus of research since the inception of discrete-event simulation modeling and analysis, with origins perhaps twenty years before the first Winter Simulation Conference. We review important work in the design of simulation experiments, variance reduction through dependence structures, and efficient rare-event simulation. The focus is on the early developments, although some recent innovations also receive mention.

Belete G.F., Voinov A., Morales J. (2017). Environmental Modelling & Software. Volume 94, pp. 112–126.

Bell David. Exploring personal data futures trading with design fiction based hybrid simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1692-1703.
Exploratory agent-based and system dynamics models emerge and are used to examine behavior, market dynamics and process flow within this fictional trading scenario.

Bezzout H., Hsaini S., Azzouzi S., El Faylali H. (2017). Simulation of electromagnetic waves propagation in free space using Netlogo multi-agent approach // In Proceedings of the 2nd international Conference on Big Data, Cloud and Applications (p. 112). ACM.

Binmad R., Li M. (2017). Improving the Efficiency of an Online Marketplace by Incorporating Forgiveness Mechanism. ACM Transactions on Internet Technology (TOIT), 17(1), 9.

Blas Maria Julia, Gonnet Silvio, Leone Horacio. Routing structure over discrete event system specification: a DEVS adaptation to develop smart routing in simulation models
// Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 774-785.

This paper presents a new simulation formalism called Routed DEVS in which routing information is used to manage directed events.

Bogatzky N. (2017). A «gung-ho» Approach Towards Sophic Economy // Economic Alternatives, (1), pp. 160-186.

Bouanan Youssef, Zerguini Seghir, Gaussier Nathalie. Modeling and simulating households and firms location choice using agent-based models: application to the urban area of Bordeaux // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1121-1132.
This article aims to respond to growing concerns about sustainable urbanization, which in recent years have generated a need for prospective assessment in the field of transport and land-use planning, by predicting future land-use development.

Bowman R.Alan, Ashman Thomas, Lambrinos James. Warriors or bulls: introducing retroactive gambling line simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 837-848.
Gambling lines provide a rich source of data for Monte Carlo simulations of sports seasons. Since data for complete seasons are available after the seasons are completed, we refer to such simulations as retroactive gambling line simulations. We use the motivating and expository example of comparing the performances of the 2015-16 Golden State Warriors (who won a record 73 games) and the 1995-96 Chicago Bulls (who held the previous record of 72 wins) and provide a detailed treatment of this application.

Brailsford Sally C., Carter Michael W., Jacobson Sheldon H. Five decades of healthcare simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.365-384.
In this paper we have not attempted to produce any kind of systematic review of simulation in healthcare to compete with the dozen (at least) excellent and comprehensive survey papers on this topic that already exist. We begin with a glance back at the early days of Wintersim, but then proceed, in line with the theme of this special track, to reflect on general developments in healthcare simulation over the years from our own personal perspectives.

Brito Thiago Barros, Botter Rui Carlos. A cross-paradigm simulation framework for complex logistics systems // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1607-1618.
This work proposes a methodology to combine discrete event simulation and System Dynamics paradigms on a logistics background. On the basis of knowledge induced from literature, a generic conceptual framework for hybrid simulation has been developed. The proposed framework is demonstrated using an explanatory case study comprising an user transportation mode choice.

Carely K., Dobson G. (2017). Cyber-FIT: An Agent-Based Modelling Approach to Simulating Cyber Warfare // Lecture Notes in Computer Science book series, 10354. Springer, Cham.

Cervantes D., Flores D.L., Gutierrez E., Chacon M.A. (2017). Ce, Tb-Doped Y2SiO5 Phosphor Luminescence Emissions Modeling and Simulation. In Properties and Characterization of Modern Materials (pp. 145-156). Springer Singapore.

Chan Wai Kin Victor. Agent-based and regression models of social influence // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1395-1406.
This paper studies social influence (i.e., adoption of belief) using agent-based simulation and regression models. Each agent is modeled by a linear regression model. Agents interact with neighbors by exchanging social beliefs.

Chen Di, Tan Gary S. H., Fagette Antoine, Chai Stephen. Simulating crowd motion using density estimation and optical flow // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1169-1180.
In this paper, a simulation framework that could approximate human displacements in a near real time manner is proposed. A framework based on OpenCV that reads video streams and runs real time simulation is implemented. As a result, amongst the crowd being tracked, we obtain near real time simulation with acceptable tracking accuracy. Lastly, this paper explains the limitation of the proposed framework.

Cheng Russell. History of input modeling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.181-201.
In stochastic simulation, input modeling refers to the process of identifying and selecting the probability distributions, called input models, from which are generated the random variates that are the source of the stochastic variation in the simulation model when it is run. This article reviews the history of the development and use of such models with the main focus on discrete-event simulation.

Chennupati Gopinath, Santhi Nandakishore, Eidenbenz Stephan, Thulasidasan Sunil. An analytical memory hierarchy model for performance prediction // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 908-919.
We present Analytical Memory Model (AMM), a model of cache memory hierarchy, embedded in the Performance Prediction Toolkit (PPT) – a suite of discrete-event-simulation-based codesign hardware and software models. AMM enables PPT to significantly improve the quality of its runtime predictions of scientific codes.

Deividi Moreira, Fernando Santos, Matheus Barbieri, Ingrid Nunes, Ana L. C. Bazzan. ABStractme: Modularized Environment Modeling in Agent-based Simulations.

de la Fuente D., Gomez A., Ponte B., Costas J. Agent-Based Prototyping for Business Management: An Example Based on the Newsvendor Problem.

De la Fuente Rodrigo, Smith III Raymond. Metamodeling a system dynamics model: a contemporary comparison of methods // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1926-1937.
This paper presents a contemporary comparison of methods useful for creating a metamodel of a simulation model. For comparison we explore the performance of a complex system dynamics model of a community hospital. In our view several characteristics of hospital operations present an interesting challenge to explore and compare the well-known competing methods.

Doud Kyle, Yilmaz Levent. A framework for formal automated analysis of simulation experiments using probabilistic model checking // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1312-1323.
By utilizing formal automated verification methods, we aim to improve the process of evaluating model assumptions against evidence, and to facilitate selection of new hypotheses to maximize information gain while reducing information processing requirements. To this end, to evaluate the results of a simulation experiment against expected regularities, a probabilistic model checking system is coupled with a Domain-Specific Language that expresses abstract finite state verification properties.

Dubovi I., Dagan E., Nasar L., Mazbar O.S., Levy S.T. (2017). Follow the Glucose Molecule: Learning Pharmacology by Exploring Multi-Scale Agent-Based Computer Models of Cellular Biochemical Processes and their Interactions Between Organs.

Dutordoir Vincent, Knudde Nicolas, van der Herten Joachim, Couckuyt Ivo, Dhaene Tom. Deep gaussian process metamodeling of sequentially sampled non-stationary response surfaces // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1728-1739.
We present the application of a novel kernel-based technique, known as Deep Gaussian Processes, which is better able to cope with these difficulties. We evaluate the method for non-stationary regression on a series of real-world problems, showing that it outperforms the standard Gaussian Processes with stationary kernels.

Elbattah Mahmoud, Molloy Owen. Learning about systems using machine learning: towards more data-driven feedback loops // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1539-1550.
Machine Learning (ML) has demonstrated great potentials for constructing new knowledge, or improving already established knowledge. Reflecting this trend, the paper lends support to the discussion of why and how should ML support the practice of modeling and simulation?

Fakhimi Masoud, Stergioulas Lampros K., Mustafee Navonil. Modelling for sustainable development using the triple-bottom line: methods, challenges and the need for hybrid M&S // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 632-643.
The tutorial explores such questions related to the methodological aspects of M&S for sustainable development analysis, and discusses the challenges for modeling such complex systems.

Falcone Alberto, Garro Alfredo, Anagnostou Anastasia, Taylor Simon J.E. An introduction to developing federations with the High Level Architecture (HLA) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 617-631.
The tutorial guides developers through the necessary steps for defining and creating an HLA-based simulation, and explains how the HLA elements can be easily managed by using the Development Kit Framework’s services.

Fan S., Chen X., Sun Q. (2017). Emergent Research of Employee Safety Awareness Based on Multi-agent Model // International Conference on Applied Human Factors and Ergonomics, 17(5), pp. 320-327.

Filho Roberto S. Silva, Carroll Alexander K., Brooks James D. A distributed simulator platform for rapid industrial user experience prototyping // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1467-1478.
This paper describes the Distributed Industrial Simulation Platform (DISP), a simulation framework developed within GE that facilitates the rapid prototyping and evaluation of novel industrial UX systems. We present the DISP design and main services showing how it has been used in support of the development and simulation of two UX prototypes in the railroad transpor-tation domain.

Fu Michael C., Henderson Shane G. History of seeking better solutions, aka simulation optimization // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.131-157.
Simulation optimization – arguably the ultimate aim of most simulation users – has had a long and illustrious history closely tied with the 50 years of the Winter Simulation Conference (WSC). We touch upon the historical developments of the field, highlighting research progress and their interactions with WSC.

Fujimoto Richard M. Power consumption in parallel and distributed simulations // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 720-734.
The energy and power consumed by computing applications have long been important concerns in mobile systems and have recently become of great interest in high performance and cloud computing. To date, only a limited amount of work has considered power consumption in parallel and distributed simulation systems. A variety of options to reduce power consumption in these systems are discussed, suggestive of directions for future research in this increasingly important area.

Fujimoto Richard M., Bagrodia Rajive, Bryant Randal E., Chandy K. Mani, Jefferson David, Misra Jayadev, Nicol David, Unger Brian. Parallel discrete event simulation: the making of a field // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.262-291.
Originating in the 1970’s, the parallel discrete event simulation (PDES) field grew from a group of researchers focused on determining how to execute a discrete event simulation program on a parallel computer while still obtaining the same results as a sequential execution. Over the decades that followed the field expanded, grew, and flourishes to this day. This paper describes the origins and development of the field in the words of many who were deeply involved.

Gerrits Berry, Mes Martijn, Schuur Peter. An agent-based simulation model for autonomous trailer docking // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1324 -1335.
This paper presents a simulation model of a generic automated planning and control system for the pick-up and docking of semi-trailers by means of autonomous Yard Tractors (YTs) in a collision- and conflict free environment. To support the planning and control of the YTs, we propose a multi-agent system. We illustrate our approach using a case study at a Dutch logistics service provider. To evaluate the proposed system, we design an agent-based simulation model, which is set up in a similar way as the multi-agent system.

Glynn Peter W., Nakayama Marvin K., Tuffin Bruno. On the estimation of the mean time to failure by simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1844-1855.
The mean time to failure (MTTF) of a stochastic system is often estimated by simulation. One natural estimator, which we call the direct estimator, simply averages independent and identically distributed copies of simulated times to failure. When the system is regenerative, an alternative approach is based on a ratio representation of the MTTF. The purpose of this paper is to compare the two estimators.

Goldsman David, Mariana de Almeida Costa, Goldsman Paul. The countries of the participants in the Winter Simulation Conference // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.75-81.
This paper discusses the demographics of the authors of the many thousands of papers that have appeared in the WSC proceedings over that time span. From its origins as a “regional” conference whose participants hailed primarily from the United States, we shall see that the WSC has evolved into a truly top-flight, international conference.

Goldsman David, Mariana de Almeida Costa, Goldsman Paul, Wilson James R. History of the Winter Simulation Conference: overview and notable facts and figures // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.16-39.
In this paper we discuss key aspects of WSC’s evolution over the past fifty years. The discussion is based on our examination of all WSC Proceedings papers published between 1968 and 2016, which collectively document much of the history of simulation and WSC.

Gomez-Cruz N.A., Loaiza Saa I., Ortega Hurtado F.F. (2017). Agent-based simulation in management and organizational studies: a survey. European Journal of Management and Business Economics, 26(3), P. 313-328.

Gonsiorowski Elsa, Carothers Christopher D., LaPre Justin, Heidelberger Philip, Minkenberg Cyriel, Rodriguez German. Using quality of service lanes to control the impact of raid traffic within a burst buffer // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 932-943.
To better understand the impact of RAID rebuild traffic, we have developed a simulation model of the SIONs. After validation, we use this model to investigate the impact of several configuration parameters, including redundancy mechanism and the physical arrangement of hardware. Additionally, our model analyzes the use of Quality of Service lanes to limit the impact of RAID traffic.

Green Josiah J., Krejci Caroline C., Cantor David E. A hybrid simulation model of helping behavior // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1619-1630.
In this paper, a hybrid simulation (ABM-DES) model has been developed to investigate how workers’ predisposition to altruistic tendencies, an important personality factor, influences their willingness to help their co-workers on a production task. Simulation results suggest that highly altruistic individuals are more likely to help their co-workers.

Guijun L., Yongsheng W., Daohan H., Hongtao Y. (2017, July). A Multi-Agent Model for Urban Water-Energy-Food Sustainable Development Simulation // In Proceedings of the 2nd International Conference on Crowd Science and Engineering (pp. 105-110). ACM.

Gwiazda A., Sękala A., Banaś W. (2017). Modeling of a production system using the multi-agent approach // IOP Conference Series: Materials Science and Engineering, 227(1).

Hartbauer, Manfred. (2017). Simplified bionic solutions: a simple bio-inspired vehicle collision detection system. Bioinspiration & Biominietics, 12(2).

Hartmanns Arnd, Sedwards Sean, D'Argenio Pedro R. Efficient simulation-based verification of probabilistic timed automata // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1419-1430.
In this paper, we propose a novel region-based approach and data structure that reduce the complexity of all operations to being linear. It relies on a particular mapping between symbolic regions and concrete representative valuations. Using an implementation within the Modest Toolset, we show that the new approach is not only easier to implement, but indeed significantly outperforms all current alternatives on standard benchmark models.

Harper Alison, Mustafee Navonil, Feeney Mark. A hybrid approach using forecasting and discrete-event simulation for endoscopy services // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1583-1594.
The aim of the study is to evaluate a hybrid methodology using discrete-event simulation and demand forecasting in the healthcare domain. A case-study investigates the application of official population projections with local historical demand data to forecast demand for a healthcare diagnostic service.

Hauke J., Lorscheid I., Meyer M. (2017). Recent Development of Social Simulation as Reflected in JASSS Between 2008 and 2014: A Citation and Co-Citation Analysis // Journal of Artificial Societies and Social Simulation, 20(1).

Herzog C., Pierson JM., Lefevre L. (2017). Modelling Technology Transfer in Green IT with Multi-agent System. In: Benlamri R., Sparer M. (eds) Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy. Springer Proceedings in Business and Economics. Springer, Cham.

Hessary Yasaman Kamyab, Hadzikadic Mirsad. An agent-based study of herding relationships with financial markets phenomena // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1204-1215.
In this paper, an agent based model of stock market is developed.

Hill Raymond R., Miller J. O. A history of United States military simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.346-364.
This paper provides a historical perspective on the use of simulation in defense particularly in United States military planning, analyses, and training.

Hollocks Brian W. A history of simulation development in the United Kingdom // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.60-74.
Discrete-event simulation first emerged in the late 1950s and steadily grew in popularity to become the most frequently used of the classical Operational Research techniques across a range of industries and users. The leading advances in the evolution of discrete-event simulation software came from the United Kingdom and the USA and the author was engaged for some 30 years with its development and use. The paper reviews that history as a first-hand account, specifically in the United Kingdom and focusing on the period to 1994.

Holm Lene Berge, Bjornenak Tone, Kjaeserud Guri Galtung, Noddeland Harald. Using discrete event simulation and soft systems methodology for optimizing patient flow and resource utilization at the surgical unit of radiumhospitalet in Oslo, Norway // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1646-1657.
This study has a multimethodological approach where discrete event simulation modelling and Soft Systems Methodology are used in combination at the surgical unit at Radiumhospitalet in Norway. The aim was to investigate the effect of different interventions on patient flow and resource utilization.

Hu Mengqi, Chen Yang, Li Xiaopeng, Xiong Kaiqi. An agent-based simulation model for distributed vehicle sharing operations // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1336-1347.
In this research, we develop an agent-based simulation model for a linear transportation system to evaluate three different vehicle sharing operations that include: 1) an independent operation where vehicles are isolate, 2) a centralized operation which assumes a central supervisor agent controls all the vehicles, and 3) a distributed operation where vehicles can communicate with others and make decisions by themselves.

Ivey Jared S., Swenson Brian P., Riley George F. Simulating networks with NS-3 and enhancing realism with DCE // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 690-904.
This talk presents an overview of NS-3, discussing its design as a discrete event network simulator and its capabilities. Code snippets will be examined, demonstrating how to configure a network topology in simulation, generate packet traffic to traverse the simulated network, visualize the network behaviors, and glean metrics from the simulation.

Janssen M.A. (2017). The Practice of Archiving Model Code of Agent-Based Models. Journal of Artificial Societies and Social Simulation, 20(1), 1-2.

Jefferson David R., Barnes Peter D. Virtual time III: unification of conservative and optimistic synchronization in parallel discrete event simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 786-797.
In this paper we present UVT (unified virtual time), argue for its correctness, and show adaptations of Time Warp, YAWNS, and Null Messages which cooperatively synchronize a single simulation.

José Roberto San, Pérez Juan Luis, Pérez Libia, Barras Rosa Maria González. Modelling of urban climate impacts using regional and urban CFD models. Application to Madrid (Spain) and London (UK) // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 446-456.
The following paper presents the technique that can be used to produce climatic scenarios at urban scale with a spatial resolution of 10 m based on the results of the global climate models for the different RCP climate scenarios.

Kasaie Parastu, Sohn Hojoon, Kendall Emily, Gomez Gabriela B., Vassall Anna, Pai Madhukar, Dowdy David W. Exploring the epidemiological impact of universal access to rapid tuberculosis diagnosis using agent-based simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1097-1108.
We designed an agent-based simulation of drug-susceptible and drug–resistant TB in a representative Indian setting and compared the impact of Xpert testing via a decentralized (Xpert available at each local population) versus centralized (Xpert available at the district-level serving multiple local-populations) strategy.

Kessler Celine, Capocchi Laurent, Santucci Jean-Francois, Zeigler Bernard. Hierarchical Markov decision process based on DEVS formalism // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1001-1012.
The goal of the paper is to propose a generic discrete-event based software Framework allowing to use hierarchical MDPs (Markov decision processes) and reinforcement learning to solve planning or decision problems. The proposed approach has been validated using the ”grid world” typical MDP use case.

Kessler Celine, Capocchi Laurent, Zeigler Bernard P., Santucci Jean-Francois. Generic architecture for interactive mobile_simulation of parallel DEVS models: a missile defense application // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1515-1526.
This paper presents a generic approach which aims to simulate models described with the DEVS formalism. DEVSimPy-mob communicates with a web REST (Representational State Transfer) server that delivers a set of web services dedicated to the simulation of DEVS models. A real case application stemming from Balistic Missile Defense simulations is presented to show how DEVSimPy-mob can be used to launch simulations from a mobile device, interact during the simulation process and visualize results.

Kittany J. (2017). Perception of multi-varied sound patterns of sonified representations of complex systems by people who are blind // Journal of Alternative Medicine Research, 9(2), 201.

Kothari Suresh, Awadhutkar Payas, Tamrawi Ahmed, Mathews Jon. Modeling lessons from verifying large software systems for safety and security // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1431-1442.
This paper discusses lessons learned from verifying properties of the Linux kernel. These lessons have raised questions about traditional verification approaches, and have led us to a model-based approach for software verification. These models are high-level models of the software, as opposed to the prevalent formal methods with low-level representations of software. We use models to gain insights into software verification challenges and use those insights to improve software verification.

Kowalska-Pyzalska A. (2017). Willingess to pay for green energy: an agent-based model in NetLogo Platform // 2017 14th International Conference on the European Energy Market (EEM).

Kuhlman Chris J., Ren Yihui, Lewis Bryan, Schlitt James. Hybrid agent-based modeling of Zika in the United States // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1085-1096.
In this work, we introduce a hybrid agent-based model that achieves a balance that readily scales to problem sizes of millions of human agents and mosquitoes. Macroscopically, our model results agree with those from a low-cost compartmental model; microscopically, like agent-based models, it provides details at the individual level. We apply this model to a synthetic human population of 1.2 million individuals from Miami, Florida in the United States to model the Zika outbreak in the Fall of 2016.

Kuhl Michael E. History of random variate generation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.231-242.
This paper presents a history of random variate generation including distribution sampling methods used prior to the introduction of digital computers, as well as the evolution of random variate generators for continuous and discrete distributions and stochastic point processes.

Kumar Sumeet, Carley Kathleen M. Simulating DDoS attacks on the us fiber-optics Internet infrastructure // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1228-1239.
In this research, we have designed a test-bed that mirrors the Internet infrastructure of the US and can simulate the Internet traffic flow patterns for different attack targets. We also estimate the degradation in the quality-of-service and the number of users impacted in two attack scenarios.

Kunc Martin. System dynamics: a soft and hard approach to modelling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 597-606.
This tutorial informs novice modelers on the aspects to consider when they want to use System Dynamics (SD) as a qualitative and quantitative modeling method. In any approach employed, the use of SD modeling needs to be grounded in relevant literature from the perspective employed, qualitative or quantitative.

L’Ecuyer Pierre. History of uniform random number generation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.202-230.
Random number generators were invented before there were symbols for writing numbers, and long before mechanical and electronic computers. All major civilizations through the ages found the urge to make random selections, for various reasons. Today, random number generators, particularly on computers, are an important ingredient in human activity. In this article, we give a historical account on the design, implementation, and testing of uniform random number generators used for simulation.

Lamarque, Remi. From variation to the emergence of linguistic regularities. Current Trends in Linguistics, 2017, Hamburg, Germany.

Lapates J.M., Espina M. (2017). Social Network Behaviours to Explain the Spread of Online Game // e-Proceedings of the 5th Global Summit on Education 2017.

Laurito Andres, Bonaventura Matıas, Astigarraga Mikel Eukeni Pozo, Castro Rodrigo. TopoGen: a network topology generation architecture with application to automating simulations of software defined networks // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1049-1060.
We present TopoGen, a general purpose architecture and tool for systematic translation and generation of network topologies. TopoGen can be used to generate network simulation models automatically by querying information available at diverse sources, notably Software Defined Networks controllers.

Lavin Eric A., Giabbanelli Philippe J. Analyzing and simplifying model uncertainty in fuzzy cognitive maps // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1868-1879.
In this paper, we presented, implemented, and evaluated a new approach to identify which ranges are important and simplify models accordingly. Our approach uses a factorial design of experiments, implemented using parallelism to offset its high computational cost. Our implementation (including our new Python library for Fuzzy Cognitive Mapping) is freely available on a third-party repository.

Law Averill M. A tutorial on design of experiments for simulation modeling // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 550-564.
In this tutorial we present an introduction to design of experiments specifically for simulation modeling, whose major goal is to determine the important factors often with the least amount of simulating. We discuss classical experimental designs such as full factorial, fractional factorial, and central composite followed by a presentation on Latin hypercube designs, which are designed for the complex, nonlinear responses typically associated with simulation models.

Lee Kamwoo, Rucker Mark, Scherer William T., Beling Peter A., Gerber Matthew S., Kang Hyojung. Agent-based model construction using inverse reinforcement learning // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1264-1275.
In this paper, we propose a method to construct an agent-based model directly from data using IRL. We explain each step of the proposed method and describe challenges that may occur during implementation. Our experimental results show that the proposed method can extract rules and construct an agent-based model with rich but concise behavioral rules for agents while still maintaining aggregate-level properties.

Li H.B., Miura R., Kojima F. (2017). A study on Quick Device Discovery for Fully Distributed D2D Networks // IEICE Transactions on Communications.

Li J., He J. (2017). Evolutionary Game and Simulation on the Internet of Things in Supply Chain. In Proceedings of the Fourth International Forum on Decision Sciences (pp. 271-279). Springer, Singapore.

Li Xueping, Ramshani Mohammad, Khojandi Anahita, Omitaomu Olufemi, Hathaway Jon Michael. An agent based model for joint placement of PV panels and green roofs // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1133-1144.
Photovoltaic panels generate electricity directly from sunlight, making them a favored renewable technology. An agent based model to optimally place Photovoltaic panels and green roofs is developed in this study. We propose a tabu search metaheuristic algorithm to solve the developed model. Then, a real-world case for a mid-sized city in the U.S. is solved as a case study for the model. We further conduct numerical analysis and provide insights.

Lin Yujing, Nelson Barry L. Variance and derivative estimation for virtual performance in simulation analytics // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1856-1867.
Virtual performance is a class of time-dependent performance measures conditional on a particular event occurring at timet0 for a (possibly) nonstationary stochastic process; virtual waiting time of a customer arriving to a queue at time t0 is one example. Virtual statistics are estimators of the virtual performance. In this paper, we go beyond the mean to propose estimators for the variance, and for the derivative of the mean with respect to time, of virtual performance, examining both their small-sample and asymptotic properties.

Linz David D., Zabinsky Zelda B., Kiatsupaibul Seksan, Smith Robert L. A computational comparison of simulation optimization methods using single observations within a shrinking ball on noisy black-box functions with mixed integer and continuous domains // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 2045-2056.
We focus on simulation optimization algorithms that are designed to accommodate noisy black-box functions on mixed integer/continuous domains. There are several approaches used to account for noise which include aggregating multiple function replications from sample points and a newer method of aggregating single replications within a «shrinking ball».

Litterio A.M., Nantes E.A., Larrosa J.M., Gomez L.J. (2017). Marketing and social networks: a criterion for detecting opinion leaders. European Journal of Management and Business Economics, 26(3), P. 347-366.

Liu Z., Rexachs D., Epelde F., Luque E. (2017). A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity. Computers & Industrial Engineering, 103, 300-309.

Liu D., Zheng X., Zhang C., Wang H. (2017). A new temporal–spatial dynamics method of simulating land-use change. Ecological Modelling, 350, 1-10.

Ma S., Jiang Z., Liu W. (2017). Multi-variation propagation prediction based on multi-agent system for complex mechanical product design // Concurrent Engineering: Research and Applications, pp. 1-15.

Malanson G.P., Resler L.M., Tomback D.F. (2017). Ecotone response to climatic variability depends on stress gradient interactions. Climate Change Responses, 4(1), 1.

Malik A., Abdalla R. (2017). Agent-based modelling for urban sprawl in the region of Waterloo, Ontario, Canada. Modeling Earth Systems and Environment, 3(1), 7.

Mantese G.C., Amaral D.C. (2017). Comparison of industrial symbiosis indicators through agent-based modeling. Journal of Cleaner Production, 140, 1652-1671.

Marcosig Ezequiel Pecker, Giribet Juan I., Rodrigo Castro. Hybrid adaptive control for UAV data collection: a simulation-based design to trade-off resources between stability and communication // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1704-1715.
We present the design of a hybrid control system for an Unmanned Aerial Vehicle (UAV) used for data collection from wireless sensors. We postulate a restrictive scenario where a low-cost processor is in charge of both flying the UAV and resolving data communication. We present a strategy where a supervisory controller implements an adaptive relaxation of the sampling period of the UAV regulation controller to favor communication tasks.

McGinnis Leon F., Rose Oliver. History and perspective of simulation in manufacturing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 385-397.

Mesabbah Mohammed, Rahoui Siham, Ragab Mohamed AF, Mahfouz Amr, Arisha Amr. Seasonal recruiting policies for table grape packing operations: a hybrid simulation modelling study // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1680-1691.
The paper aims to investigate the impact of workers experience on packing operations efficiency. The model outcomes demonstrate the improvement in operations efficiency and total running cost that can be achieved when applying optimal recruiting policies that reduce labors variations.

Miller John A., Peng Hao, Bowman Casey N. Advanced tutorial on microscopic discrete-event traffic simulation // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 705-719.
Analysis of traffic systems through modeling and simulation is an essential tool for city planners to optimize traffic flow. Microscopic discrete-event simulation is a natural and powerful method for such analysis.

Minjing P., Xinglin L., Ximing L., Mingliang Z., Xianyong Z., Xiangming D., Mingfen W. Recognizing intentions of E-commerce consumers based on ant colony optimization simulation // Journal of Intelligent & Fuzzy Systems, (Preprint), 1-11.

Mizuta Hideyuki. Large-scale distributed agent-based simulation for shopping mall and performance improvement with shadow agent projection // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1157-1168.
In this paper, we introduce the agent-based simulation of a shopping mall with walking and purchasing behavior model and consider the performance of distributed parallel execution. To utilize the agent-based simulation for decision support, distributed parallel execution of large-scale agent-based social simulations is important for evaluating the complex behavior of a realistic number of people with acceptable performance.

Moreira D., Santos F., Barbieri M., Nunes I., Bazzan A.L. (2017). ABStractme: Modularized Environment Modeling in Agent-based Simulations // In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, pp. 1802-1804. Sao Paul, Brazil.

Moustaid Elhabib, Meijer Sebastiaan. A hybrid approach for building models and simulations for smart cities: expert knowledge and low dimensionality // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1551-1562.
This article describes a hybrid approach combining the expert knowledge on the city and its limits in terms of data, with models having the right dimensionality to provide policy-makers and urban managers with the necessary information for understanding and managing the city. This approach has been applied in Venice, but it describes in more general terms a way of bridging the world of theoretically sound models with their potential use.

Mubarak Misbah, Domke Jens, Ross Caitlin, Bhatele Abhinav, Ma Kwan-Liu, Jain Nikhil, Wolfe Noah, Li Kelvin, Carothers Christopher D., Ross Robert B. Toward reliable validation of HPC network simulation models // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 660-674.
In this paper, we present a set of recommended practices for each of these steps in the validation process. If the recommendations are followed, the end result should be a validated network model that can make reasonably accurate predictions and convince the community about the correctness of the model.

Muscalagiu C.G., Muscalagiu I., Muscalagiu D.M. (2017). The curving calculation of a mechanical device attached to a multi-storey car park. IOP Conf. Series: Materials Science and Enginneering (163).

Mustafee Navonil, Brailsford Sally, Djanatliev Anatoli, Eldabi Tillal, Kunc Martin, Tolk Andreas. Purpose and benefits of hybrid simulation: contributing to the convergence of its definition // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1631-1645.
There is a growing trend in the number of M&S studies that report on the use of Hybrid Simulation. However, the meaning and the usage of the term varies considerably. Indeed, the hybrid simulation panel during last year’s conference laid bare the strong views, from the panelists and audience alike, as to what constitutes a hybrid model and what is new? The ensuing debate set the scene for this year’s paper, in which we discuss the various perspectives on hybrid simulation by focusing on three aspects: its definition, its purpose and its benefits.

Myers Chris J., Bader Gary, Gleeson Padraig, Golebiewski Martin, Hucka Michael, Le Novere Nicolas, Nickerson David P., Schreiber Falk, Waltemath Dagmar. A brief history of combine // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 884-895.
This paper provides a brief history of this endeavor and the challenges that remain.

Naderlinger Andreas. Simulating execution time variations in MATLAB/Simulink // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1491-1502.
We address this issue and discuss a Simulink block with a fundamentally new semantics that is used to encapsulate control functions as software tasks. It is particularly suited to model and observe software delays in complex control functions within software-in-the-loop simulations.

Negahban Ashkan. Neural networks and agent-based diffusion models // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1407-1418.
This paper introduces a new consumer decision-making model where each agent uses a neural network to evaluate word-of-mouth and predict her utility prior to adoption a new product based on her experiences in the past. The model considers the fact that consumers may not know their true preferences before experiencing the product.

Nance Richard E., Overstreet C. Michael. History of computer simulation software: an initial perspective // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.243-261.

Nance Richard E., Thayer Gwyneth A. The computer simulation archive: development and current contents // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P.330-341.
The development history of the Computer Simulation Archive is described from its inception in 1998 to the present.

Neal SaBra A., Fujimoto Richard M. Energy consumption of HLA data distribution management approaches // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 810-820.
This paper describes an empirical study of the energy consumption of computation and communication components of region based and grid based Data Distribution Management approaches in mobile devices. Experimental data illustrate that region based approaches tend to consume more energy than grid based approaches for computations, but less for communications.

Niño-Pérez Esmeralda, Rivera-Collazo César A., Cabrera-Ríos Mauricio, Méndez-Vázquez Yaileen M. Iterative multicriteria simulation and prototyping optimization in manufacturing // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 481-492.
In this work a multicriteria simulation optimization method previously developed in our research group was applied to the experimental optimization of a 3D printed prototype.

Obaida Mohammad Abu, Liu Jason. Simulation of HPC job scheduling and large-scale parallel workloads // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 920-931.
The paper presents a simulator designed specifically for evaluating job scheduling algorithms on large-scale HPC systems. The simulator was developed based on the Performance Prediction Toolkit, which is a parallel discrete-event simulator written in Python for rapid assessment and performance prediction of large-scale scientific applications on supercomputers.

Okolnishnikov V.V., Rudometov S.V., Shakirov S.R., Zhuravlev S.S. Testing of Process Control Systems in Mining using simulation // MATEC Web of Conferences 125, 04011 (2017) CSCC 2017. DOI: 10.1051/matecconf/201712504011.

Ouyang Huiyin, Barry L Nelson. Simulation-based predictive analytics for dynamic queueing systems // Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. 2017. Las Vegas, Nevada, USA. P. 1716-1727.
This work is a first step in that direction with a focus on congestion measures for queueing systems. The idea is to fit predictive models to dynamic sample paths of the system state from a detailed simulation. We propose a two-step method to dynamically predict the probability that the system state belongs to a certain subset and test the performance of this method on two examples.

Ozaeta L., Graña M. (2017). Finding Communities in Recommendation Systems by Multi-agent Spatial Dynamics // In International Conference on Hybrid Artificial Intelligence Systems (pp. 577-587). Springer, Cham.



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