Results 11 to 20 of about 114,658 (266)

Special Issue “Multi-Agent Systems”: Editorial

open access: yesApplied 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
doaj   +1 more source

Agent‐Based Modeling and Simulation

open access: yesAI Magazine, 2012
This article gives an introduction to agent‐based modeling and simulation (ABMS). After a general discussion about modeling and simulation, we address the basic concept of ABMS, focusing on its generative and bottom‐up nature, its advantages as well as its pitfalls.
Franziska Klügl, Ana L. C. Bazzan
openaire   +3 more sources

Learning Dynamics and Norm Psychology Supports Human Cooperation in a Large-Scale Prisoner’s Dilemma on Networks

open access: yesGames, 2018
In this work, we explore the role of learning dynamics and social norms in human cooperation on networks. We study the model recently introduced in [Physical Review E, 97, 042321 (2018)] that integrates the well-studied Experience Weighted Attraction ...
John Realpe-Gómez   +4 more
doaj   +1 more source

Power Industry’s Life Cycle Simulation using Agent Based Modeling [PDF]

open access: yesچشم‌انداز مدیریت صنعتی, 2022
In this paper we try to simulate the life cycle of the electricity industry using the agent-based simulation method. For this purpose, 5 Agents were mentioned and they were simulated by Anylogic software .Then, four scenarios were investigated with ...
Mohamad Farahbakhsh   +3 more
doaj   +1 more source

Partner selection supported by opaque reputation promotes cooperative behavior

open access: yesJudgment and Decision Making, 2016
Reputation plays a major role in human societies, and it has been proposed as an explanation for the evolution of cooperation. While the majority of previous studies equates reputation with a transparent and complete history of players’ past decisions ...
Valerio Capraro   +3 more
doaj   +1 more source

Experimenting with Agent-Based Model Simulation Tools

open access: yesApplied Sciences, 2022
Agent-based models (ABMs) are one of the most effective and successful methods for analyzing real-world complex systems by investigating how modeling interactions on the individual level (i.e., micro-level) leads to the understanding of emergent ...
Alessia Antelmi   +4 more
doaj   +1 more source

Earned Value Management Agent-Based Simulation Model

open access: yesSystems, 2023
Agile project management (APM) can be defined as an iterative approach that promotes satisfying customer requirements, adjusts to change, and develops a working product in rapidly changing environments.
Manuel Castañón-Puga   +5 more
doaj   +1 more source

Distributed Agent-Based Traffic Simulations [PDF]

open access: yesIEEE 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
openaire   +1 more source

Agentenbasierte Modellierung und Simulation im Pandemiemanagement

open access: yesTATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 2023
Mathematical models and computer simulations play a crucial role in the context of the COVID-19 crisis for knowledge about the possible course of the pandemic and for appropriate policy decisions. The paper presents results from an ethnographic study of
Jens Hälterlein
doaj   +1 more source

The Institutional Stance in Agent-based Simulations [PDF]

open access: yesProceedings of the 5th International Conference on Agents and Artificial Intelligence, 2013
This paper presents a multi-agent framework intended to animate scenarios of compliance and non-compliance in a normative system. With the purpose of describing social human behaviour, we choose to reduce social complexity by creating models of the involved agents starting from stories, and completing them with background theories derived from common ...
Sileno, G., Boer, A., van Engers, T.
openaire   +3 more sources

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