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DISTRIBUTED AGENT-BASED SIMULATION WITH REPAST4PY. [PDF]
Proc Winter Simul Conf, 2022 The increasing availability of high-performance computing (HPC) has accelerated the potential for applying computational simulation to capture ever more granular features of large, complex systems. This tutorial presents Repast4Py, the newest member of the Repast Suite of agent-based modeling toolkits.
Collier N, Ozik J.
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Brain Sciences, 2023 Objectives: Fatigue in multiple sclerosis (MS) is a frequent and invalidating symptom, which can be relieved by non-invasive neuromodulation, which presents only negligible side effects.
Massimo Bertoli +14 more
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Effectiveness of Rastra Bulog Rice Distribution Using Agent Based Modeling and Simulation Tools
Almana: Jurnal Manajemen dan Bisnis, 2021 The Rastra Rice Program is one of the programs planned by the government to reduce the burden on target households (RTS – Rumah Tangga Sasaran). This program provides relief to the community by distributing Rastra Rice which is suitable for consumption.
Roro Arinda Reswanti Julian Pratama +1 more
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A methodological framework for the integration of machine learning algorithms into agent-based simulation models [PDF]
Journal of Universal Computer Science, 2022 Traditionally, agent-based modelling and simulation relied on using utility function in agents’ decision-making process. Some drawbacks in this process are identified, and a potential remedy to the issue is proposed.
Nikola Zornić, Aleksandar Marković
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Distributed Agent-Based Traffic Simulations [PDF]
IEEE Intelligent Transportation Systems Magazine, 2018 Modeling and simulation play an important role in transportation networks analysis. With the widespread of personalized real-time information sources, it is relevant for the simulation model to be individual-centered. The agent-based simulation is the most promising paradigm in this context.
Matthieu Mastio +3 more
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Agent-based modeling and simulation in the research of environmental sustainability. A bibliography
Present Environment and Sustainable Development, 2021 In the context of the alarming news about climate changes, resource depletion, ecological disasters, and demographic trends, the interest of the researchers and the scientific literature on topics related to sustainability grew exponentially in the past ...
Ioan Susnea, Emilia Pecheanu, Adina Cocu
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Agent based simulation output analysis [PDF]
Proceedings of the 2011 Winter Simulation Conference (WSC), 2011 Refereed Conference Paper Proceedings of the 2011 Winter Simulation Conference S. Jain, R.R. Creasey, J. Himmelspach, K.P. White, and M. Fu, eds. In most realistic simulations there are multiple outputs of interest and the overall performance of the sys-tem can only be estimated in terms of these multiple outputs.
Schruben, Lee, Singham, Dashi
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Overview of Software Agent Platforms Available in 2023
Information, 2023 Agent-based computing remains an active field of research with the goal of building (semi-)autonomous software for dynamic ecosystems. Today, this task should be realized using dedicated, specialized frameworks.
Zofia Wrona +6 more
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Facing expectations: Those that we prefer to fulfil and those that we disregard
Judgment and Decision Making, 2015 We argue that people choosing prosocial distribution of goods (e.g., in dictator games) make this choice because they do not want to disappoint their partner rather than because of a direct preference for the chosen prosocial distribution.
Christophe Heintz +3 more
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Special Issue “Multi-Agent Systems”: Editorial
Applied Sciences, 2020 Multi-agent systems (MAS) are built around the central notions of agents, interaction, and environment. Agents are autonomous computational entities able to pro-actively pursue goals, and re-actively adapt to environment change.
Stefano Mariani, Andrea Omicini
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