Abraham R., Miller M., Miller J. (2005). Emerging 4D graphics for math and science education // Paper presented at the ACM SIGGRAPH 2005 Educators program, Los Angeles, California.

Abrahamson D., Blikstein P., Lamberty K.K., Wilensky U. (2005). Mixed-media learning environments // Paper presented at the annual meeting of Interaction Design and Children 2005, Boulder, Colorado.

Abrahamson D., Wilensky U. (2005). Collaboration and equity in classroom activities using Statistics As Multi-Participant Learning-Environment Resource (S.A.M.P.L.E.R.) // In W. Stroup and U. Wilensky (Chairs), & C. D. Lee (Discussant), «Patterns in group learning with next-generation network technology.» Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15.

Abrahamson D., Wilensky U. (2005). Piaget? Vygotsky? I'm game: Agent-based modeling for psychology research // Paper presented at the annual meeting of the Jean Piaget Society. Vancouver, Canada, June 1-3.

Abrahamson D., Wilensky U. (2005). ProbLab goes to school: Design, teaching, and learning of probability with multi-agent interactive computer models // Paper presented at the Fourth Conference of the European Society for Research in Mathematics Education, San Feliu de Guixols, Spain.

Abrahamson D., Wilensky U. (2005). The stratified learning zone: Examining collaborative-learning design in demographically-diverse mathematics classrooms // In D. Y. White (Chair) & E. H. Gutstein (Discussant), «Equity and diversity studies in mathematics learning and instruction.» Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 – 15.

Abrahamson D., Wilensky U. (2005). Understanding chance: From student voice to learning supports in a design experiment in the domain of probability // In G.M. Lloyd, M. Wilson, J. L. M. Wilkins & S.L. Behm (Eds.), Proceedings of the Twenty Seventh Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education.Roanoke, VA.

Adams Jeffrey, Flatto Jerry, Gardner Leslie. Combining hands-on, spreadsheet and discrete event simulation to teach supply chain management // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2329-2337.
This paper describes the effect of combining hands-on simulation with spreadsheets and discrete event simulations. These tools enhance the student learning process of supply chain management principles. Active, hands-on learning is one of the most effective types of learning but is very time consuming. Supplementing it with computer simulation enhances the hands-on learning to cover more material in less time making an efficient and effective learning experience.

Aksyonov K.A., Smoliy E.F., Goncharova N.V., Khrenov A.A., Baronikhina A.A. Development of Resource Conversion Processes Model and Simulation System. Proceedings of the EUROCON 2005. Serbia & Montenegro, Belgrad. 2005. p.1722-1725.
Разработка модели процесса преобразования ресурсов и системы имитационного моделирования.

Aldinger T., Kopf S., Scheele N., Effelsberg W. (2005). Participatory Simulation of a Stock Exchange.

Alexopoulos Christos, Kim Seong-Hee. Review of advanced methods for simulation output analysis // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.188-201.
This paper reviews statistical methods for analyzing output data from computer simulations. First, it focuses on the estimation of steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, and methods based on standardized time series. Second, it reviews recent statistical procedures to find the best system among a set of competing alternatives.

Allen Nicholas A., Shaffer Clifford A., Watson Layne T. Building modeling tools that support verification, validation, and testing for the domain expert // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.419-426.
Successfully building a model requires a combination of expertise in the problem domain and in the practice of modeling and simulation. Model verification, validation, and testing (VV&T) are essential to the consistent production of models that are useful and correct. There are significant communities of domain experts that build and use models without employing dedicated modeling specialists. Current modeling tools relatively underserve these communities, particularly in the area of model testing and evaluation. This paper describes several techniques that modeling tools can use to support the domain expert in performing VV&T, and discusses the advantages and disadvantages of this approach to modeling.

Amos M., Wood A. (2005). Effect of door delay on aircraft evacuation time // Arxiv preprint cs.MA/0509050.
Here we present a computationally cheap agent-based framework 4 for the general simulation of aircraft evacuation 5-7, and apply it to the particular case of the Airbus A380. In particular, we investigate the effect of door delay, and conclude that even a moderate average delay can lead to evacuation times that exceed the maximum for safety certification. The model suggests practical ways to minimise evacuation time, as well as providing a general framework for the simulation of evacuation.

Avramidis Athanassios N., L’Ecuyer Pierre. Modeling and simulation of call centers // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.144-152.
In this review, we introduce key notions and describe the decision problems commonly encountered in call center management. Main themes are the central role of uncertainty throughout the decision hierarchy and the many operational complexities and relationships between decisions. We make connections to analytical models in the literature, emphasizing insights gained and model limitations. The high operational complexity and the prevalent uncertainty suggest that simulation modeling and simulation-based decision-making could have a central role in the management of call centers. We formulate some common decision problems and point to recently developed simulation-based solution techniques.

Babiceanu Radu F., Chen F. Frank. Performance evaluation of agent-based material handling systems using simulation techniques // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1022-1028.
This work proposes an agent-based material handling system and contrasts the centralized and decentralized scheduling approaches for allocation of material handling operations to the available resources in the system. To justify the use of the decentralized agent-based approach and assess its performance compared to conventional scheduling systems, a series of validation tests and a simulation study are carried out. As illustrated by the preliminary results obtained in the simulation study the decentralized agent based approach can give good feasible solutions in a short amount of time.

Banos A., Godara, A., Lassarre S. (2005). Simulating pedestrians and cars behaviours in a virtual city: an agent-based approach // Paper presented at the European Conference on Complex Systems, Paris, 14-18 November.

Barry Philip S., Koehler Matthew T.K. Leveraging agent based simulation for rapid course of action development // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1001-1007.
In the spring of 2005 a limited objective experiment was carried out to assess the feasibility of using agent based simulations to enhance co-evolutionary course of action development. In particular, relatively low fidelity simulations were employed to visualize the results of particular courses of action. The results of the experiment indicate that there is significant potential for low fidelity simulations to stimulate objective thinking in course of action development.

Barton A. (2005). Modelling the Foraging Patterns of a Colony of Co-operating Army Ant Agents using NetLogo // NRC/ERB-1122. February 21, 2005.

Beer M.D., Hill R. (2005). Integrating Multi-Agent Systems into the Wider Computing Curriculum // Paper presented at the The AAMAS-2005 Workshop on Teaching Multi-Agent Systems - TeachMAS Utrecht, the Netherlands.

Berland M., Wilensky U. (2005). Complex play systems -- Results from a classroom implementation of VBOT // Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15.

Biles William E., Kleijnen Jack P.C. International collaborations in web-based simulation: a focus on experimental design and optimization // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.218-222.
This paper summarizes several years of research conducted by the authors to investigate the use of the world-wide web in conducting large-scale simulation studies. This early work utilized models coded in the Java-based Silk simulation language. By 2001, this research had extended the web-based simulation approach to more widely used simulation languages such as Arena. The present state of this research is that large-scale simulation studies can be conducted on a set of computers, accessed through the web, in a fraction of the time needed using a single processor.

Blikstein P., Abrahamson D., Wilensky U. (2005). NetLogo: Where we are, where we're going // Paper presented at the annual meeting of Interaction Design and Children. Boulder, Colorado.
NetLogo, a multi-agent cross-platform modeling-and-simulation environment, has been enhanced with new capabilities. We explain selected simulations from our Models Library and describe recent enhancements (e.g., 3D) and demonstrate extensions (e.g., music). We focus on Hub Net, a technological infrastructure for facilitating participatory simulations, run these activities with participants, and discuss learning experiences afforded by these activities.

Blikstein P., Wilensky U. (2005). Less is more: Agent-based simulation as a powerful learning tool in materials science // Paper presented at the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), Utrecht, Netherlands.
This paper reports on a user study of a computer-aided learning environment for Materials Science. «MaterialSim» is an agentbased set of microworlds built in the NetLogo modeling environment, for investigating crystallization, solidification, metallic grain growth and annealing.

Bodner Douglas A., Rouse William B., Pennock Michael J. Using simulation to analyze R&D value creation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1906-1913.
As the front-end to product and system lifecycles, research and development activities serve as engines of value creation. By nature, though, R&D involves significant uncertainty. As such, it often is viewed as an investment problem, whereby funds are invested in ventures under risk, with the hope of achieving future value. This paper investigates the use of organizational simulation to analyze the R&D investment problem, focusing on ways to increase value created from R&D. Based on a process-focused model of R&D systems, initial results indicate that using a real options framework to valuate R&D outperforms traditional discounted cash flow (DCF) methods in total value created, but that DCF methods are preferred for return on R&D investment.

Bonnefoy Philippe A. Simulating air taxi networks // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1586-1595.
The U.S. air transportation industry is about to experience the emergence of on-demand air taxi networks enabled by a new generation of Very Light Jets. These new networks are unique in many ways and the top down design approach of air taxi enterprises generates challenging and complex questions. Simulation was found to be an essential technique for understanding, analyzing and evaluating the complex behavior of air taxi networks. The Air Taxi Network Simulator is a fast-time simulator that replicates the operations of fleets of air taxi aircraft over a network of hundreds of airports. Its capabilities include demand modeling, trip generation, aircraft routing and pilot assignment, unscheduled maintenance events with recovery mechanisms, etc. It provides key performance metrics that enable decision makers to test and evaluate various strategic and tactical scenarios.

Born Richard G. Teaming discrete-event simulation and geographic information systems to solve a temporal/spatial business problem // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2482-2491.
Although discrete-event simulation has pedagogically been rooted in computer science, and the practicality of geographic information systems in geography, the combined use of both in the business world allows solving some very challenging temporal/spatial (time and space dependent) business problems. The discrete-event simulation language WebGPSS, an ideal simulation environment for the business person, is teamed with Microsoft MapPoint, a GIS (geographic information system) designed to bring powerful mapping and analysis techniques to corporate office desktops. The result is the ability to solve innovative business strategy problems before implementing them in the real world. This paper focuses on one such problem by using WebGPSS to drive a simulation that provides geographic data for display by MapPoint, and ultimately map animations showing spatial and temporal business changes.

Brown Daniel G.; Page Scott E.; Zellner Moira; Rand William (2005). Path dependence and the validation of agent‐based spatial models of land use // International Journal of Geographical Information Science. 19 (2): 153–174. doi:10.1080/13658810410001713399.

Brown Daniel G.; Riolo Rick; Robinson Derek T.; North Michael; Rand William (2005). Spatial process and data models: Toward integration of agent-based models and GIS // Journal of Geographic Systems. Springer. 7 (1): 25–47. doi:10.1007/s10109-005-0148-5.

Buchholz, P., Thümmler, A. (2005). Enhancing evolutionary algorithms with statistical selection procedures for simulation optimization // In Proceedings of the 2005 Winter Simulation Conference, pp. 843-852.

Bury Scott J., Akiya Naoko. Evaluating proposed capital and operational improvements at a marine terminal // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2005-2010.
Marine terminal operations are complex, and evaluating changes is best done using a simulation tool that captures the dynamics and interactions of the system. We have developed a flexible and robust discrete-event simulation of a marine terminal that handles liquid cargo. We used this simulation to investigate proposed changes generated by a Six Sigma project to reduce congestion at the terminal. Our study provided quantitative data to base decisions on the expected operational and financial impact of the proposed changes. The simulation captured the important details of the system and increased the Six Sigma team’s confidence in their recommendations.

Buss Arnold H., Sanchez Paul J. Simple movement and detection in discrete event simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.992-1000.
Many scenarios involving simulation require modeling movement and sensing. Traditionally, this has been done in a time-stepped manner, often because of a mistaken belief that using a pure discrete event approach is infeasible. This paper discusses how simple motion (linear, uniform, two dimensional) and simple sensing can be modeled with a pure Discrete Event approach. We demonstrate that this approach is not only feasible, it is often more desirable from several standpoints.

Cace I., Bryson J. (2005). Agent Based Modelling of Communication Costs: Why information can be free // In Emergence and Evolution of Linguistic Communication C. Lyon, C. L Nehaniv and A. Cangelosi, eds., pp. 305-322, Springer 2007.
This paper describes a model that demonstrates that sharing knowledge can be adaptive purely for its own sake. This is despite the fact that sharing knowledge costs the speaker in terms of foraging opportunities, and that initially the majority of the population consists of free-riders who listen but do not speak. The population is able to take advantage of the increased carrying capacity of the environment that results from the spread of knowledge, and the free riders are reliably out competed by the speakers.

Calvez B., Hutzler G. (2005). Parameter Space Exploration of Agent-Based Models // In Knowledge-Based Intelligent Information and Engineering Systems, 3684, 633-639. Springer Berlin / Heidelberg.

Carnahan Joseph C., Reynolds Paul F., Brogan David C. Simulation-specific characteristics and software reuse // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2492-2499.
We argue that simulations possess interesting characteristics that facilitate adaptation. Simplifying assumptions, stochastic sampling, and event generation are common features which lend themselves to adaptation for reuse. In this paper, we explore simulation-specific characteristics amenable to adaptation and the ways they can be exploited in support of reuse. Our work is of particular relevance to research in component based simulations and dynamic data driven application systems, where adaptability and reuse are essential.

Carson II John S. Introduction to modeling and simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.16-23.
Simulation is a powerful tool for the evaluation and analysis of new system designs, modifications to existing systems and proposed changes to control systems and operating rules. Conducting a valid simulation is both an art and a science. This paper provides an introduction to discrete event simulation and the main concepts – system state, events, processes–underlying simulation. It discusses the major world views used by simulation software. It includes a brief discussion of a number of other important issues: the advantages and disadvantages of using a simulation model, the skills required to develop a simulation model, the key steps in conducting a simulation study.

Castella J. C. et al. Agrarian transition and lowland–upland interactions in mountain areas in northern Vietnam: application of multi-agent simulation model // Agricultural systems. 2005. Т. 86. №. 3. С. 312–332.

Cates Grant R., Mollaghasemi Mansooreh. A discrete event simulation model for assembling the international space station // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1260-1264.
In late 2002 and early 2003, a discrete event simulation (DES) model was used to help NASA assess the viability of achieving a politically important goal. The goal was to complete the assembly of the International Space Station through the milestone known as United States Core Complete by February 19th, 2004. The analysis provided by the DES model was subsequently shown to be consistent with NASA’s official assessments regarding the completion date for U.S. Core Complete. The success of this DES model has led to further improvements in modeling NASA’s project to assemble the International Space Station.

Chen Lan, Pidd Michael. High performance simulation in quasi-continuous manufacturing plants // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1367-1372.
Though the quality of discrete simulation software packages is high, most are aimed at systems in which discrete objects change state as they move from work-station to work-station. This generic model is a good fit for some manufacturing, for example, much automotive production. LanSkim is a prototype PC-based package designed for these applications. It is simple to use and runs very fast but is insufficiently detailed for all purposes. Adding full detail would make the simulations run very slowly, hence we examine the use of parallel computation to allow increased level of detail. We describe Lan WARPED, based on WARPED, which is a parallel simulation models of such plant.

Chen Liu, Qun Li, Wei-ping Wang, Yi-fan Zhu. Extend SRML schema based on DEVS: an executable DEVS language // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2693-2699.
This paper analyzes the significance of the representation and reusability of SRML when being used in simulation models as well as its drawbacks. The paper also discusses the ways to extend SRML schema based on DEVS. The model behavior, such as external transition, internal transition, output and time-advance functions are described by script language and a group of standard interface offered by SRML simulator in Script marks. The paper then reviews the SRML element architecture and finally gives a simulation demo of using SRML to build differential equation model.

Chernakov D.V., Okol'nishnikov V.V. Control Program Development System // Proc. of the Second IASTED International Multi-Conference AUTOMATION, CONTROL, AND APPLICATIONS (ACIT-ACA). — Novosibirsk, 2005. — p. 142–145.

Confessore Giuseppe, Liotta Giacomo, Grieco Rosario. A simulation-based architecture for supporting strategic and tactical decisions in the apron of rome-fiumicino airport // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1596-1605.
In this paper we describe an architecture for the evaluation and optimization of aircraft ground movements in apron taxiways. The paper aims at providing an effective methodology for supporting the decision-makers involved in both the apron design and management phases. The purpose deriving from the utilization of the proposed approach consists in obtaining substantial improvements in the level of service with a reduction in congestion and ground delays within airports while considering safety aspects like aircraft separation. The methodology relies on a modular architecture. A simulation-based architecture, in which an optimization module is included, has been developed; an information feedback between simulation and optimization modules is enabled.

D’Abreu M.C., Wainer G.A. M/CD++: Modeling Continuous Systems Using Modelica and DEVS // In Proc. 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, pages 229–236, 2005.

Da Costa L.E., Terhesiu D. (2005). A simple model for the diffusion of ideas // Research Project for the Complex Systems Summer School, SFI (Santa Fe, New Mexico).

Davis Paul K. New paradigms and new challenges // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1067-1076.
This paper lays out provocative assertions about major challenges for the modeling and simulation community. One relates to building M&S for the purpose of assisting the search for strategies that are flexible, adaptive, and robust despite uncertainty. A key aspect of this search is exploratory analysis, coupled with selective zoom. These, in turn, require multiresolution modeling with sound models (albeit, with uncertain data). But sound models must be adaptive models, since humans are adaptive. And rigorous analysis with adaptive models, such as those involving agents, requires new methods and attitudes, as well as new tools.

de Marchi S. (2005). Computational and Mathematical Modeling in the Social Sciences // Cambridge University Press.

Deviatkov V.V. Vlasov S.A. Experience in the development and application of simulation in Russia: review, analysis of prospects (Опыт разработки и применения имитационного моделирования в России: обзор, анализ и перспективы) //Proceedings 19th European Conference on Modeling and Simulation. – Riga (Latvia): ECMS, June 1-4, 2005, P. 23-27.

DiLeo John J. FreeSML: Delivering on the open-source simulation language promise // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2513-2523.
FreeSML is a Java-based simulation language, providing support for process-oriented and event-oriented simulation, along with limited support for continuous-variable simulation. The core simulation engine is indirectly derived from that of Silk 1.3, and the language’s public interface is based heavily on those of Silk and SSJ. Unlike earlier languages, FreeSML was developed with the specific intent that it be released as an open-source package, and has been released under the Free Software Foundation’s Lesser General Public License.

Douglas J. Morrice, Richard A. Valdez, Jack P. Chida, Jr., Missan Eido. Discrete Event Simulation in Supply Chain Planning and Inventory Control at Freescale Semiconductor, Inc // Proceedings of the 2005 Winter Simulation Conference, p. 1718-1724.

Dubiel Benjamin, Tsimhoni Omer. Integrating agent based modeling into a discrete event simulation // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1029-1037.
In this paper we propose to integrate agent based modeling with discrete event simulation to simulate the movement of people in a discrete event system. An agent based module was constructed within the AutoMod simulation package, and a test case was modeled in which people (agents) at a theme-park interact with objects and people in their environment to get directions and then walk or take a tram to their final destination. We explain the details of model implementation and describe the verification and initial validation of the model.

Faget Patrick, Herrmann Frank. Applying discrete event simulation and an automated bottleneck analysis as an aid to detect running production constraints // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1401-1407.
This paper describes the application of a method for detecting bottlenecks in discrete event models developed by Toyota Motor Company. The objective in this case is to automate the bottleneck analysis facilitating the understanding and adoption of simulation by decision makers without knowledge of simulation. The main results of this paper are the validation of the bottleneck detection method and its integration with MS Excel spreadsheets. Moreover system improvement alternatives are presented by the use of design of experiments.

Fioroni Marcelo Moretti, Franzese Luiz Augusto G., Harano Edson Luis M., Costhek Benedito Pedro, Mendes Joao Bosco, Cuzzuol Joeli, Lima Juliana de Souza, Santos Ricardo Baeta, Coelho Robson Jacinto, Silva Adriano Cesar, Kimsr Odair Jose. Simulation based decision for steelmaking operations challenges // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2657-2662.
Companhia Siderurgica de Tubarao CST, is investing to expand production level in 50%, adding new equipment and altering production process. Simulation is widely used in CST, mainly in strategic phases prior to capital investment. A previous simulation model developed with ARENA was enhanced to help CST achieve new goals: to analyze new process plan with operational details, testing different production and operational scenarios, evaluating new procedures and best practices. Two case studies are presented here to show how CST uses this technology: the expansion of an steelmaking plant and the expansion of the raw material handling conveyor system.

Forsyth Adam J., Horne Gary E., Upton Stephen C. Marine corps applicatons of data farming // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1077-1081.
Project Albert is a modeling and simulation initiative of the United States Marine Corps that combines the rapid prototyping of agent-based distillations with the exploratory power of data farming to rapidly generate insight into military questions. The goal of data farming is that decision makers will no longer be surprised by surprise. This paper outlines some data farming explorations conducted over the past few years.

Friman Henrik, Horne Gary E. Using agent models and data farming to explore network centric operations // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1094-1100.
Network Centric Operations are difficult to quantify in many respects with models or other methods. Data Farming is a methodology and capability that makes use of high performance computing to run models many times. In the case of agent-based models that are relatively small, many runs can be performed in a short period of time. This capability gives modelers and their clients the enhanced ability to discover trends and outliers in results in a variety of areas. In this paper the authors discuss some notional efforts to begin to explore questions in the area of network centric operations using the agent model MANA and Data Farming.

Fu Michael C., Glover Fred W., April Jay. Simulation optimization: a review, new developments, and applications // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.83-95.
We provide a descriptive review of the main approaches for carrying out simulation optimization, and sample some recent algorithmic and theoretical developments in simulation optimization research. Then we survey some of the software available for simulation languages and spreadsheets, and present several illustrative applications.

Geist Robert, Hicks Jacob, Smotherman Mark, Westall James. Parallel simulation of Petri nets on desktop pc hardware // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.374-383.
A comparatively simple approach to highly parallel simulation of Petri nets on commodity, desktop PC hardware is suggested. A mapping, described in the programming language Cg, of Petri net semantics to the SIMD architecture of NVidia 5-series and 6-series GPUs is provided, and a prototype simulator is tested on both conflict-intensive and conflict-free Petri net models. In all cases, the prototype parallel simulator is seen to deliver substantial performance gains over its serial counterparts. Limitations of the approach and open design issues are also described.

Gershenson C. (2005). Self-Organizing Traffic Lights // Complex Systems, 16(1):29–53.
We use a multi-agent simulation to study three self-organizing methods, which are able to outperform traditional rigid and adaptive methods. Using simple rules and no direct communication, traffic lights are able to self-organize and adapt to changing traffic conditions, reducing waiting times, number of stopped cars, and increasing average speeds.

Giachetti Ronald E., Centeno Edwin A., Centeno Martha A., Sundaram Ramakrishnan. Assessing the viability of an open access policy in an outpatient clinic: a discrete-event and continuous simulation modeling approach // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.2246-2255.
This paper presents the preliminary results of an ongoing research project investigating the patient appointment scheduling for an outpatient clinic. The outpatient clinic was experiencing three problems of long patient throughput times, a large backlog of appointments, and a high noshow rate. We believe a new scheduling approach called Open Access could address all three problems. To analyze and make recommendations for improvement to patient cycle time we developed a discrete event simulation. To understand the factors leading to a high no-show rate we developed a systems dynamic simulation model.

Gilbert N., Troitzsch K. (2005). Simulation for the social scientist (second ed.) // Milton, UK: Open University Press.

Gobert J., Buckley B., Dede C., Levy S., Slotta J., Wilensky U. (2005). Technology features that support research through logging of student interactions with models // Paper presented at the Winter Text Conference, Jackson Hole, WY, January 20-23.

Goldsman David, Kim Seong-Hee, Nelson Barry L. Statistical selection of the best system // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.178-187.
This tutorial discusses some statistical procedures for selecting the best of a number of competing systems. The term «best» may refer to that simulated system having, say, the largest expected value or the greatest likelihood of yielding a large observation. We describe various procedures for finding the best, some of which assume that the underlying observations arise from competing normal distributions, and some of which are essentially nonparametric in nature. In each case, we comment on how to apply the above procedures for use in simulations.

Greenwood Allen G., Vanguri Sucharith, Eksioglu Burak, Jain Pramod, Miller Jeffery W., Walden Clayton T. Simulation optimization decision support system for ship panel shop operations // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2078-2086.
Simulation is a powerful tool that is used to understand and analyze the effect of changes on real systems. However, developing and using simulation models requires highlevel engineering skills. The objective of this research is to put state-of-the-art problem-solving technologies into the hands of decision makers, e.g. planners and supervisors. This paper presents a Decision Support System (DSS) that utilizes discrete-event simulation models and heuristic optimization, yet permits effective use without detailed knowledge of the methodologies. The system is developed for the Panel Shop at Northrop Grumman Ship Systems’ (NGSS) Pascagoula Operations; the shop is considered the bottleneck for the shipyard.

Grimard Carrie, Marvel Jon H., Standridge Charles R. Validation of the re-design of a manufacturing work cell using simulation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1386-1391.
Simulation can be used to validate the design or redesign of any complex system before it is implemented. Validation evidence is obtained if the simulation demonstrates that the system operation corresponds to its design. This evidence includes comparing both detailed system behavior and performance measure values to those stated in the design. The application of simulation to validating the redesign of an injector assembly and calibration production area is discussed. Modeling challenges unique to part movement using one-piece flow, work in process inventory control, and the movement of both workers and parts are discussed.

Gulyas L., Bartha S., Kozsik T., Szalai R., Korompai A., Tatai G. (2005). The Multi-Agent Simulation Suite (MASS) and the Functional Agent-Based Language of Simulation (FABLES) // Paper presented at Swarmfest2005, Torino, Italy, June 5-7, 2005.

Gurkan P., Taskin C. Application of simulation technique in weaving mills // Fibers & Textiles in Eastern Europe, 2005, Vol. 13, No.3(51), pp.8-10.

Hanssens D.M., Leeflang P.S.H., Wittink D.R. Market Response Models and Marketing Practice, Applied Stochastic Models in Business and Industry, 2005, Vol. 21, pp. 423-434. Available at: http://onlinelibrary.wiley.com/doi/10.1002/asmb.584/abstract.

Hasgul Servet, Buyuksünetci Alptug Selçuk. Simulation modeling and analysis of a new mixed model production lines // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1408-1412.
Mixed model production lines are often used in manufacturing systems. In production lines, different product types are simultaneously manufactured by processing small batches. This paper describes a recently completed project involving the development of simulation models for a mixed model production line in a refrigerator company. Decision maker wants to determine the bottlenecks before changing the traditional line to a mixed model production line. Due to the enlarged number of models, the design of an assembly system becomes more complicated. Performance evaluation is an important phase in the design of assembly lines in a mixed model production environment. Simulation models helped us to identify production line bottlenecks and evaluate some number of suggested solutions.

Henderson Shane G. Should we model dependence and nonstationarity, and if so how? // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.120-129.
It can be difficult to develop, fit to data, and generate from, models that capture dependence and/or nonstationarity in simulation inputs. Should we bother? How should we go about it? I will discuss these issues, focusing on three examples: call center arrivals, ambulance travel speeds and wind modeling for America’s Cup races.

Herbert D. Agent-Based Models of Innovation and Technological Change // Handbook of Computational Economics / ed. by K.L. Judd and L. Tesfatsion. Elsevier. 2005. Vol. 2. P. 1235-1272.

Hertel E., Steinhauer D., Nienhuis U. Simulation of assembly production at shipyards, ICCAS, Busan, 2005. pp.121-134.

Hoffer L. (2005). Using Agent-based Modeling to Better Understand Local Heroin Dealing // Organizations and Drug Markets, Washington University.

Hollocks Brian. Assessing simulation learning in higher education // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2297-2303.
System simulation may be used as a valuable exemplar of modeling in degree programs across a range of disciplines. This paper describes and discusses an approach to assessing learning in that domain, relating it to Bloom’s and Biggs’ taxonomies. It uses a mini-project, scenario concept, evaluated through oral examination. The scenario text and grading plan are included in the paper. The approach is found to usefully differentiate across the full range of student performance.

Ingemansson Arne, Oscarsson Jan. Discrete-event simulation and automatic data collection improve performance in a manufacturing system // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1441-1445.
Data utilization from an automatic collection system helps simulation. DES (Discrete-Event Simulation) is a suitable tool in that respect. Improvements of a manufacturing system by reducing production disturbances in block engine line of a truck manufacturer were shown in a case study. The manufacturing line is equipped with an automatic data gathering system, collecting detailed information from each machine, such as Down Time. The collected data and the simulation model were used in finding bottlenecks in the system. The improvement groups of the company suggested improvements to these machines in collaboration with DES work. An improvement of 12% was achieved in the block line during two years. The long-term improvement work was profitable. Further potential with the method is investigated in a new case study.

Ivashkin Yu.А., Shcerbakov A.V., Rogozhkina E.A. Multi-agent simulation of disputed marketing situations. // 19-th European Conference on Modelling and Simulation. ECMS 2005. June 1-4, 2005, Riga, Latvia, p. 501-508.
This article examines multi-agent imitating model of interaction and choice of optimum pricing strategy of firms - oligopolists during competitive struggle for profit and market share. Methods, algorithms and program realization in universal imitating system Simplex3 (Schmidt 1996, 2001) agent - oriented imitation of interaction of competing elements in disputed marketing situations are described. The feature of agent-oriented models is that they describe individual characteristics of all participants of the market and their criterion functions on each step of interaction, instead of the average or generalized parameters of a condition. The considered imitating model of the market with suppliers and buyers of production opens the mechanism of the conflict and dynamics of interaction of competing elements - intellectual agents during his sanction and stabilization of a condition status of the marketing environment.

Jack G.A.J. van der Vorst, Seth Tromp, Durk-Jouke van der Zee. A Simulation Environment for the Redesign of Food Supply Chain Networks: Integrating Quality Controlled Logistics // Proceedings of the 2005 Winter Simulation Conference, p. 1658-1667.

Janota A., Rastocny K., Zahradnik J. (2005). Multi-agent approach to traffic simulation in NetLogo environment - Level Crossing model // Paper presented at the 5th International Conference Transport Systems Telematics TST '05, Silesian University of Technology.

Janota A., Spalek J., Hrbce J. (2005). NetLogo – prostredie na tvorbu multiagentových systémov a jeho využitie na simuláciu riadenia železničného priecestia // AT&P Journal, PLUS7.

Jian Sun, Xiaoguang Yang, Yunlong Ma. A new simulation model for expressway weaving sections evaluation // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1766-1772.
Simulation of traffic flow is an effective tool for traffic system management, control and optimization, particularly in congested urban areas. TESS is an object oriented traffic simulation model with detailed representation of vehicles and their interactions. This paper presents the TESS simulator including the car-following model and new lanechanging procedures. Four weaving sections are simulated in TESS platform using field data come from Traffic Information Collecting System in Shanghai China. Compared with the CORSIM model, good results are obtained after using the calibrated TESS model in simulating weaving sections.

Johnson Rachel T., Fowler John W., Mackulak Gerald T. A discrete event simulation model simplification technique // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2172-2176.
Cycle Time – Throughput curves, which plot the average cycle time versus start rate for a given product mix, are often used to support decisions made in manufacturing settings, such as the impact of proposed changes in start rate on mean cycle time. Discrete event simulation is often used to generate estimations of cycle time at a significant number of traffic intensities (start rates). However, simulation often requires long run lengths and extensive output analysis. In most manufacturing environments, the time and/or budget available for such simulations is limited. As demands for faster and more accurate results are required, alternative approaches to improving simulation efficiency must be investigated. This research seeks to develop a procedure for simplifying a detailed model into a fast (abstract) simulation model that achieves a statistically indistinguishable level of accuracy and precision.

Joslin David, Poole William. Agent-based simulation for software project planning // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.1059-1066.
In this paper we describe some preliminary attempts to adapt a simulation-based planning algorithm developed for planning experimental activities of Mars rovers to the problem of planning for software project management. Simulation techniques offer the potential for modeling the way agents behave in project development, and the way a manager might adapt the project plan based on the project status at future points, resulting in a tool that more accurately reflects the realities of software project management.

Joslin David, Frank Jeremy, Jуnsson Ari K., Smith David E. Simulation-based planning for planetary rover experiments // Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. P.1049-1058.
The use of simulation in planning is appealing because of its potential for representing complex, realistic details about the rover and its environment. We demonstrate a planning algorithm that performs high-level planning in a space of plan strategies, rather than actual plans. In the current implementation, candidate strategies are evaluated by a simple simulation, and a genetic algorithm is used to search for effective strategies. Preliminary results are encouraging, particularly the potential for modeling uncertainty about the time required to complete actions, and the ability to develop strategies that can deal with this uncertainty gracefully.

Jurishica Carley J. Emergency department simulations: medicine for building effective models // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2674-2680.
This paper will discuss proven practices for developing Emergency Department (ED) simulations based on recent project success. This paper will thoroughly analyze each step of a typical ED simulation project, identifying key areas of focus and tips for success. Defining the objective, process map, scenarios, outputs and animation requirements are the first steps. A system for gathering the ED data will be discussed, as well as advice for the verification and validation phases. Finally, the presentation of the findings will be analyzed. This paper will stress dependency of each phase on the successful outcome of the entire project.

Karpov Y., Ivanovski R., Popov D., Voropai N. Hierarchical Modeling of Electric Power System Expansion by AnyLogic Simulation Software // IEEE Conf on Electric Power Systems, St.Petersburg, 2005.

Keshtkar F., Gueaieb W., White A. (2005). An Agent-based Model for Image Segmentation // Paper presented at the 13th Multi-disciplinary Iranian Researchers Conference in Europe (IRCE'2005), Leeds, United Kingdom, July 2005.

Khouadjia M., Khanfouf H., Meshoul S. (2005). Une Approche adaptative pour la segmentation dÕimages: Implementation sur la plate-forme Multi-agents NetLogo // Working Paper, Laboratoire LIRE, Université Mentouri, Constantine, Algerie.

Koehler M., Tivnan B., Bloedorn E. (2005). Generating Fraud: Agent Based Financial Network Modeling // Paper presented at the NAACSOS Conference 2005, South Bend, IN, June 26-28.

Koehler M., Tivnan B., Upton S. (2005). Clustered Computing with NetLogo and Repast J: Beyond Chewing Gum and Duct Tape // Paper presented at the Agent2005 conference, Chicago, IL.

Komashie Alexander, Mousavi Ali. Modeling emergency departments using discrete event simulation techniques // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.2681-2685.
This paper discusses the application of Discrete Event Simulation (DES) for modeling the operations of an Emergency Department (ED). The model was developed to help the ED managers understand the behavior of the system with regard to the hidden causes of excessive waiting times. The results of this work also helped managers to either reverse or modify some proposed changes to the system that were previously being considered. The results also show a possible reduction of more than 20% in patients’ waiting times.

Kopf S., Scheele N., Winschel L., Effelsberg W. (2005). Improving Activity and Motivation of Students with Innovative Teaching and Learning Technologies // International Conference on Methods and Technologies for Learning (ICMTL).

Krahl David. Debugging simulation models // Proceedings of the 2005 Winter Simulation Conference M.E. Kuhl, N.M. Steiger, F.B. Armstrong, and J.A. Joines, eds. P.62-68.
While much has been written about model validation and verification, the actual process of correcting, or debugging, a model is presented as an afterthought. This paper will describe different types of bugs and will present techniques, drawn from both the simulation modeling and application programming worlds, for determining the cause of an error in the model.