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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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Citations
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Proceedings ArticleDOI

Integrating learning into a BDI Agent for environments with changing dynamics

TL;DR: A novel confidence measure is developed which allows the agent to adjust its reliance on the learning dynamically, facilitating in principle infinitely many (re)learning phases.
Journal ArticleDOI

A Survey of Multi-Agent Decision Making

TL;DR: In this article, a high-level overview of various aspects relevant to multi-agent decision making is given, focussing on game theory, complex decision making, and on intelligent agents.
Journal ArticleDOI

Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning

TL;DR: The results constitute the first empirical evidence that agents using potential-based reward shaping and difference rewards methodologies can sample true Pareto optimal solutions in cooperative multi-objective stochastic games.
Journal ArticleDOI

Computational logic foundations of KGP agents

TL;DR: This paper presents the computational logic foundations of a model of agency called the KGP (Knowledge, Goals and Plan model), which provides a highly modular agent architecture that integrates a collection of reasoning and physical capabilities synthesised within transitions that update the agent's state in response to reasoning, sensing and acting.
Book ChapterDOI

When are two protocols the same

TL;DR: This chapter considers the question of whether or not protocols proposed for interactions between autonomous agents are substantially different, and explores several alternative definitions of equivalence of protocols.
References
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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.