Статьи 2018 года (A...Z)



Ahlstrand E., Buetti‐Dinh A., Friedman R. (2018). An interactive computer lab of the galvanic cell for students in biochemistry. Biochemistry and Molecular Biology Education, 46(1), pp. 58-65.

Ali A., Shah G., Aslam M. (2018). Model for autonomous agents in machine‐to‐machine navigation networks. International Journal of Communication Systems, 31(4), e3491.

Aljazaery I.A. (2018) Developed energy protocol PW-MAC to MPW-MAC to save energy in Wireless Sensor Networks.

Almagor J., Benenson I., Czamanski D. (2018). The Evolution of the Land Development Industry: An Agent-Based Simulation Model. In Trends in Spatial Analysis and Modelling (P. 93-120). Springer, Cham.

Anderson T., Dragicevic S. (2018). Deconstructing Geospatial Agent-Based Model: Sensitivity Analysis of Forest Insect Infestation Model. In Agent-Based Models and Complexity Science in the Age of Geospatial Big Data (P. 31-44). Springer, Cham.

Anderson W., Kobold K., Yakimenko O. (2018). Employing Systems Engineering Tools to Analyze Green Microgrids for Remote Islands. World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, 5(6).

Antoniou V., Schlieder C. (2018). Addressing Uneven Participation Patterns in VGI Through Gamification Mechanisms. In Geogames and Geoplay (pp. 91-110). Springer, Cham.

Aros S.K., Gibbons D.E. Developing an agent-based simulation model of the use of different communication technologies in inter-organizational disaster response coordination // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.68-79.
This research focuses on communications among a variety of organizations that coordinate their rapid responses to catastrophic disasters.

Aurambout J.P., Endress A.G. (2018). A model to simulate the spread and management cost of kudzu (Pueraria montana var. lobata) at landscape scale. Ecological Informatics, 43, pp.146-156.

Baeza A., Janssen M.A. (2018). Modeling the decline of labor-sharing in the semi-desert region of Chile. Regional Environmental Change, 18(4), pp. 1161-1172.

Berea A. (2018). Constructed Language Versus Bio-chemical Communication: An Agent-Based Model and Applications. In Emergence of Communication in Socio-Biological Networks (pp. 31-49). Springer, Cham.

Boyd R., Roy S., Sibly R., Thorpe R., Hyder K. (2018). A general approach to incorporating spatial and temporal variation in individual-based models of fish populations with application to Atlantic mackerel. Ecological Modelling, 382, 9-17.

Brelsford J., Parakh S. A systems modeling approach to analyzing human trafficking // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.12-21.
This paper offers a process for understanding and analyzing the most effective interventions for eliminating human trafficking.

Brilliantova A., Pletenev A., Doronina L., Hosseini H. (2018). An agent-based model of an endangered population of the Arctic fox from Mednyi Island. Moscow University, University of Munster, Rochester Institute of Technology.

Broniatowski D.A., Moses J. (2018). The Flexibility of Generic Architectures: Lessons from the Human Nervous System. In Disciplinary Convergence in Systems Engineering Research (pp. 585-598). Springer, Cham.

Burrows A., French D. (2018). Evidence of Science and Engineering Practices in Preservice Secondary Science Teachers’ Instructional Planning Journal of Science Education and Technology, (p. 1-14).

Carillo M., Cordasco G., Serrapica F., Scarano V., Spagnuolo C., Szufel P. (2018). Distributed simulation optimization and parameter exploration framework for the cloud. Simulation Modelling Practice and Theory, 83, pp. 108-123.

Castillo E.A., Trinh M.P. (2018). In search of missing time: A review of the study of time in leadership research. The Leadership Quarterly, 29(1), pp. 165-178.

Chareunsy A.K. (2018). Diffusion of development initiatives in a southern Lao community: An agent based evaluation. Journal of Asian Economics, 54, pp. 53-68.

Chaudhari K.S., Kandasamy N.K., Krishnan A., Ukil A., Gooi H.B. (2018). Agent Based Aggregated Behavior Modelling For Electric Vehicle Charging Load. IEEE Transactions on Industrial Informatics.

Chumachenko D., Dobriak V., Mazorchuk M., Meniailov I., Bazilevych K. (2018, February). On agent-based approach to influenza and acute respiratory virus infection simulation. In Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), 2018 14th International Conference on (P. 192-195). IEEE.

Clapp J.D. (2018). The Promise of Systems Science in Health Behavior Research: The Example of Studying Drinking Events. Health Behavior Research. Vol. 1: No. 2. https://doi.org/10.4148/2572-1836.1019.

Condro A., Pawitan H., Risdyanto I. (2018). Predicting drought propagation within peat layers using a three dimensionally explicit voxel based model (pp. 149). IOP Conference: earth Envionmental Science.

Crittenden J., Fujimoto R., Lu Z., Pecher P. (2018). Granular Cloning: Intra-Object Parallelism in Ensemble Studies Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, Pages 165-176.

Cucart-Mora C., Lozano S., de Pablo J. F. L. (2018). Bio-cultural interactions and demography during the Middle to Upper Palaeolithic transition in Iberia: An agent-based modelling approach. Journal of Archaeological Science, 89, pp. 14-24.

Daeichian A., Haghani A. (2018). Fuzzy Q-Learning-Based Multi-agent System for Intelligent Traffic Control by a Game Theory Approach. Arabian Journal for Science and Engineering, 1-7.

Davis B. (2018). Complexity as a Discourse on School Mathematics Reform. In Transdisciplinarity in Mathematics Education (P. 75-88). Springer, Cham.

de Souza R., William L., Timperio G., Rahim Z.B.A. Simulation model and simulation-based serious gaming in humanitarian logistics // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.57-67.
We develop a simulation model for humanitarian logistics preparedness and a simulation-based serious game to raise awareness and provide accessibility on humanitarian logistics research to a wider audience. The simulation model aims to optimize the network configuration for prepositioning stocks of life-saving goods in Indonesia.

Dorsey J.W., Hardy L.C. (2018). Sustainability factors in dynamical systems modeling: Simulating the non-linear aspects of multiple equilibria. Ecological Modelling, 368, pp.69-77.

Drezewski R. (2018). The Agent-Based Model and Simulation of Sexual Selection and Pair Formation Mechanisms. Entropy 20(5), p. 342. doi:10.3390/e20050342.

Dubovi I., Dagan E., Mazbar O.S., Nassar L., Levy S.T. (2018). Nursing students learning the pharmacology of diabetes mellitus with complexity-based computerized models: A quasi-experimental study. Nurse education today, 61, pp. 175-181.

El Hachami K., Tkiouat M. (2018, April). An approach for modeling the economy as a complex system using agent-based theory. In Intelligent Systems and Computer Vision (ISCV), 2018 International Conference on (pp. 1-6). IEEE.

Feldman T. (2018). Unwinding ZIRP: A simulation analysis. Finance Research Letters, 24, pp.278-288.

Frydenlund E., Foytik P., Padilla J.J., Ouattara A. Where are they headed next? Modeling emergent displaced camps in the DRC using agent-based models // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.22-32.
The paper describes a prototype agent-based model used to predict the spontaneous settlements that can arise among internally displaced forced migrants in the Democratic Republic of the Congo.

Galán S.F., Mengshoel O.J. (2018). Neighborhood beautification: Graph layout through message passing. Journal of Visual Languages & Computing, 44, pp.72-88.

Gao X., Li K., Chen B. (2018). Invulnerability Measure of a Military Heterogeneous Network Based on Network Structure Entropy. IEEE Access, 6, pp.6700-6708.

Gómez-Cruz N.A., Loaiza Saa I., Ortega Hurtado F.F. (2018). Agent-based simulation in management and organizational studies: a survey. European Journal of Management and Business Economics, 26(3), pp.313-328.

Haidai B., Artiukh R., Maleeva O. Analysis and modelling the preferences of social networks users (Анализ и моделирование предпочтений пользователей социальных сетей) // Innovative technologies and scientific solutions for industries. 2018. N. 1 (3). P. 5–12.
Предметом исследования в статье являются модели и технологии анализа процессов формирования лояльности и предпочтений пользователей социальных сетей. Используются следующие методы исследования – методы имитационного моделирования, методы Laravel и YouTube Data and Analytics API.

Han S., Huang H., Luo Z., Foropon C. (2018). Harnessing the power of crowdsourcing and Internet of Things in disaster response. Annals of Operations Research, 1-16. https://doi.org/10.1007/s10479-018-2884-1.

Head B., Wilensky U. (2018). Agent cognition through micro-simulations: Adaptive and tunable intelligence with NetLogo LevelSpace. In: Morales A., Gershenson C., Braha D., Minai A., Bar-Yam Y. (eds) Unifying Themes in Complex Systems IX. ICCS 2018. Springer Proceedings in Complexity. Springer, Cham.

Hebert G. A., Perez L., Harati S. (2018). An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria. In Agent-Based Models and Complexity Science in the Age of Geospatial Big Data (P. 45-58). Springer, Cham.

Humann J., Jin Y., Madni A.M. (2018). Scalability in Self-Organizing Systems: An Experimental Case Study on Foraging Systems. In Disciplinary Convergence in Systems Engineering Research (pp. 543-557). Springer, Cham.

Jianyu Z., Baizhou L., Xi X., Guangdong W., Tienan W. (2018). Research on the characteristics of evolution in knowledge flow networks of strategic alliance under different resource allocation. Expert Systems with Applications, 98, pp.242-256.

Jing L., Chen B., Zhang B., Ye X. (2018). Modeling marine oily wastewater treatment by a probabilistic agent-based approach. Marine pollution bulletin, 127, pp.217-224.

Karanci A., Velásquez-Montoya L., Paniagua-Arroyave J.F., Adams P.N., Overton M.F. (2018). Beach Management Practices and Occupation Dynamics: An Agent-Based Modeling Study for the Coastal Town of Nags Head, NC, USA. In Beach Management Tools-Concepts, Methodologies and Case Studies (pp. 373-395). Springer, Cham.

Klein I., Levy N., Ben-Elia E. (2018). An agent-based model of the emergence of cooperation and a fair and stable system optimum using ATIS on a simple road network. Transportation research part C: emerging technologies, 86, pp.183-201.

Koch A. (2018). Dynamic Relationships Between Human Decision Making and Socio-natural Systems. In Trends in Spatial Analysis and Modelling (P. 121-141). Springer, Cham.

Konovalov M., Razumchik R. Revisiting M/D/1/N FIFO queue with renovation // Технологии и математическое моделирование (ИТММ-2018): Материалы XVII Международной конференции имени А.Ф. Терпугова (10−15 сентября 2018 г.). – Томск: Изд-во НТЛ, 2018. – 442 с. ISBN 978-5-89503-621-1. С.22-25.

Kurahashi S. (2018, June). Agent-Based Gaming Approach for Electricity Markets. In KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (pp. 311-320). Springer, Cham.

Lemos C.M. (2018). Model Exploration and Computer Experiments. In Agent-Based Modeling of Social Conflict (P. 65-111). Springer, Cham.

Lemos C.M. (2018). ABM of Civil Violence: ODD Description. In Agent-Based Modeling of Social Conflict (P. 51-63). Springer, Cham.

Liew C.W., Phuong T., Jones C.B., Evans S., Hoot J., Weedling K., ... & Kurt R.A. (2018). A computational approach to unraveling TLR signaling in murine mammary carcinoma. Computers in biology and medicine, 93, pp.56-65.

Liukkonen L., Ayllón D., Kunnasranta M., Niemi M., Nabe-Nielsen J., Grimm V., Nyman A.M. (2018). Modelling movements of Saimaa ringed seals using an individual-based approach. Ecological Modelling, 368, pp.321-335.

Lopez-Parez A., Ruiz-Martin C., Wainer G. (2018). Formal Abstract Modeling of Dynamic Multiplex Networks. Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pp.61-72. Rome, Italy.

Malishev M., Bull C.M., Kearney M.R. (2018). An individual‐based model of ectotherm movement integrating metabolic and microclimatic constraints. Methods in Ecology and Evolution, 9(3), pp.472-489. https://doi.org/10.1111/2041-210X.12909.

Mayangsari L., Pasaribu N. (2018). Understanding Unlawful Behavior in Music Industry Using Agent-Based Modelling and Simulation: A Complementary of Misconception in Value Co-Creation. World Academy of Science, Engineering and Technology, International Journal of Industrial and Manufacturing Engineering, 5(4).

Mueller C., Klein U., Hof A. (2018). An easy-to-use spatial simulation for urban planning in smaller municipalities. Journal «Computers, Environment and Urban Systems». Pp.1-11. https://doi.org/10.1016/j.compenvurbsys.2018.05.002.

Mustafee N., Powell J.H., Harper A. RH-RT: A data analytics framework for reducing wait time at emergency departments and centres for urgent care // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.100-110.
The paper presents an architecture for the implementation of RH-RT (Right Hospital – Right Time) that is specific to the authors’ current work on a digital platform that makes available live waiting time from multiple centers of urgent care in Devon and Cornwall. The focus of the paper is on the development of a Hybrid Systems Model comprising of healthcare business intelligence, forecasting techniques and computer simulation.

Ornelas N.O. (2018). An Ecosystem: Computational Thinking, Project-Based Learning & Logo.

Peng Y., Li Q.X., Bao H.J. (2018). Conflict Analysis of Concentrated Rural Settlement Development During Post-disaster Reconstruction in China: A Multi-agent Simulation. In Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate (pp. 491-502). Springer, Singapore.

Polater A. (2018). Managing airports in non-aviation related disasters: A systematic literature review. International Journal of Disaster Risk Reduction, 31, pp.367-380.

Ponziani F., Tinaburri A., Ricci V. (2018). A Multi Agent Approach To Analyse Shift In People Behaviour Under Critical Conditions. International Journal of Safety and Security Engineering, 8(1), 1-9.

Pour F.S.A., Tatar U., Gheorghe A. (2018, April). Agent-based model of sand supply governance employing blockchain technology. In Proceedings of the Annual Simulation Symposium (p. 14). Society for Computer Simulation International.

Raimbault J. (2018, May). An Urban Morphogenesis Model Capturing Interactions between Networks and Territories.

Ramírez-Ávila G.M., Kurths J., Deneubourg J.L. (2018). Fireflies: a paradigm in synchronization. In Chaotic, Fractional, and Complex Dynamics: New Insights and Perspectives (pp. 35-64). Springer, Cham.

Rashid K.I., Nan D., Tahir M., Ahmed A. (April 2018). An Adaptive Cruise Control Model based on PDLCA for Efficient Lane Selection and Collision Avoidance. International Journal of Advanced Computer Science and Applications, Vol.9, No.4, 2018. Pp.41-49.

Rodriguez A.R. Optimal enterprise results in the clinical research environment // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.80-87.

Rosales C., Whipple J.M., Blackhurst J. (2018). The Impact of Out-of-Stocks and Supply Chain Design on Manufacturers: Insights from an Agent-Based Model. Transportation Journal, 57(2), P. 137-162.

Rossetti G., Milli L., Rinzivillo S., Sirbu A., Pedreschi D., Giannotti F. (2018). NDlib: a python library to model and analyze diffusion processes over complex networks. International Journal of Data Science and Analytics, 5(1), pp.61-79.

Salimi K., Frydenlund E., Padilla J.J., Haaland H., Wallevik H. How does humanitarianism spread? Modeling the origins of citizen initiatives through norm diffusion // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.33-44.
This paper describes a prototype agent-based model used to explain why and how a norm of humanitarianism diffuses through a population.

Santos V.F., Yacoub M.D., Ursini E.L., Martins P.S. A management tool based on discrete event simulation for humanitarian support // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.45-56.

Santos F., Nunes I., Bazzan A.L. (2018). Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain. Simulation Modelling Practice and Theory, 83, pp.162-187.

Shim J., Bliemel M. (2017). Ignition of new product diffusion in entrepreneurship: An agent-based approach. Entrepreneurship Research Journal.

Simpkins C.E., Dennis T.E., Etherington T.R., Perry G.L. (2018). Assessing the performance of common landscape connectivity metrics using a virtual ecologist approach. Ecological Modelling, 367, pp.13-23.

Snitker G. (2018). Identifying natural and anthropogenic drivers of prehistoric fire regimes through simulated charcoal records. Journal of Archaeological Science, 95, pp.1-15.

Sturley C., Newing A., Heppenstall A. (2018). Evaluating the potential of agent-based modelling to capture consumer grocery retail store choice behaviours. The Internatinal Review of Retail, Distribution and Consumer Research, 28(1), pp.27-46.

Thakur S., Bhautik P., Sangore V., Singh K. (2017).A Review on Treatment of Sewage Water & Biogas Purification by Algae. Internatinal Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, Page No pp.390-397, January 2018.

Thiriot S. (2018). Word-of-mouth dynamics with information seeking: Information is not (only) epidemics. Physica A: Statistical Mechanics and its Applications, 492, pp.418-430.

Van Tendeloo Y., Vangheluwe H. Discrete event system specification modeling and simulation // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.162-176.
This tutorial introduces the Classic Discrete Event System Specification formalism in a bottom-up fashion, using a simple traffic light example. The syntax and operational semantics of atomic (i.e., non-hierarchical) models are introduced first. Coupled models are introduced to structure and couple Atomic models.

Vidaković M., Ivanović M., Stantić D., Vidaković J. (2018, June). How Research Achievements Can Influence Delivering of a Course-Siebog Agent Middleware. In KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (pp. 110-120). Springer, Cham.

Waight N., Abd-El-Khalick F. (2018). Technology, Culture, and Values: Implications for Enactment of Technological Tools in Precollege Science Classrooms. In Cognition, Metacognition, and Culture in STEM Education (pp. 139-165). Springer, Cham.

Wainer G.A., Goldstein R., Khan A. Introduction to the discrete event system specification formalism and its application for modeling and simulating cyber-physical systems // Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. 2018. Geteborg, Sweden. P.177-191.
In this tutorial, we introduce the core concepts of Discrete Event System Specification. First, we introduce a set of informal requirements from which a formal specification is to be developed. Then, we present different modeling conventions at different levels of abstraction.

Wang Y., Wen S., Farnon Ellwood M.D., Miller A.D., Chu C. (2018). Temporal effects of disturbance on community composition in simulated stage‐structured plant communities. Ecology and evolution, 8(1), pp.120-127.

Wang Z., Zhang H., Hu M., Qiu Q., Liu H. (2018). Analysis of safety characteristics of flight situation in complex low-altitude airspace. Advances in Mechanical Engineering, vol.10(5), 1-15.

Weintrop D., Wilensky U. (2018). How block-based, text-based, and hybrid block/text modalities shape novice programming practices. International Journal of Child-Computer Interaction. https://doi.org/10.1016/j.ijcci.2018.04.005.

West T.A., Grogan K.A., Swisher M.E., Caviglia-Harris J.L., Sills E., Harris D., ... & Putz F.E. (2018). A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon. Environmental Modelling & Software, 100, pp.159-174.

Wilkerson M.H., Shareff R., Laina V., Gravel B. (2018). Epistemic gameplay and discovery in computational model-based inquiry activities. Instructional Science, P. 1-26.

Yahyaoui F., Tkiouat M. 2017. A multi-level agent-based model of reinsurance. Journal of Applied Economic Sciences, Volume XII, Summer 3(49): P. 746– 752.

Yarbrough B., Wagner N. (2018, April). Assessing security risk for wireless sensor networks under cyber attack. In Proceedings of the Annual Simulation Symposium (p. 1). Society for Computer Simulation International. SpringSim-ANSS, 2018 April 15-18, Baltimore.

Yousefi M., Yousefi M., Ferreira R. P.M., Kim J.H., Fogliatto F.S. (2018). Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments. Artificial intelligence in medicine.

Yunming W., Si C., Chengsheng, P., Bo C. (2018). Measure of invulnerability for command and control network based on mission link. Information Sciences, 426, P. 148-159.

Zia K., Saini D. K., Muhammad A., Ferscha A. (2018). Customer Participation in the Internet of Things: A Bayesian Game Model. IEEE Transactions on Computational Social Systems.

Zoto E., Kowalski S., Lopez-Rojas E.A., Kianpour M. Using a socio-technical systems approach to design and support systems thinking in cyber security education. Pp.123-128.





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