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An Introduction to MultiAgent Systems.

Barbara Messing
- Vol. 17, pp 58
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The article was published on 2003-01-01 and is currently open access. It has received 3093 citations till now.

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Journal ArticleDOI

Statistical physics of social dynamics

TL;DR: In this article, a wide list of topics ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading are reviewed and connections between these problems and other, more traditional, topics of statistical physics are highlighted.
Journal ArticleDOI

Developing multiagent systems: The Gaia methodology

TL;DR: It is argued that a multiagent system can naturally be viewed and architected as a computational organization, and the appropriate organizational abstractions that are central to the analysis and design of such systems are identified.
Book

Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)

TL;DR: The Jason Agent Programming Language as discussed by the authors is a programming language based on the BDI Agent Model that allows to define simulated environments and communicate with multiple agents in a BDI agent language.
Book ChapterDOI

Computational Intelligence: An Introduction

TL;DR: The general public becomes rapidly jaded with such ‘bold predictions’ that fail to live up to their original hype, and which ultimately render the zealots’ promises as counter-productive.
Journal ArticleDOI

Agent-based systems for manufacturing

TL;DR: The evolution of agent technologies and manufacturing will probably proceed hand in hand and the former can receive real challenges from the latter, which will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.
References
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Journal ArticleDOI

Robust Cyber-Physical Systems

TL;DR: This paper comprehensively survey the concept and strategies for building a resilient and integrated cyber-physical system (CPS) and uses two detailed examples from achieved projects to explain how to achieve a robust, systematic CPS design.

Normative Multi-Agent Systems

TL;DR: The purpose in this Dagstuhl Seminar was to explore the connections of norms to each of the themes, especially from a computational perspective, and to provide guidelines for future research in normative multi-agent systems.
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Information Sharing as a Coordination Mechanism for Reducing the Bullwhip Effect in a Supply Chain

TL;DR: Two principles explaining how to use the shared information to reduce the amplification of order variability induced by lead times are described, which are proposed as a cause of the bullwhip effect.
Journal ArticleDOI

Normative conflict resolution in multi-agent systems

TL;DR: In this paper, the authors present mechanisms for detecting and resolution of normative conflicts, based on first-order unification and constraint solving techniques, are the building blocks of more sophisticated algorithms for the management of normative positions, that is, the adoption and removal of permissions, obligations and prohibitions in societies of agents.
Journal ArticleDOI

What evolutionary game theory tells us about multiagent learning

TL;DR: It is concluded that the central concerns of multiagent learning are rather narrow compared with the broad variety of work identified in [Y. Shoham, R. Powers, T. Grenager, If multi-agent learning is the answer, what is the question? Artificial Intelligence 171 (7) (2007) 365-377, this issue].