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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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The science of science: from the perspective of complex systems

TL;DR: In this paper, the authors review the recent advances in science of science (SOS) aiming to cover the topics from empirical study, network analysis, mechanistic models, ranking, prediction, and many important related issues.
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Multi-Agent Systems: A Survey

TL;DR: This survey provides a comprehensive discussion of all aspects of MAS, starting from definitions, features, applications, challenges, and communications to evaluation, and a classification on MAS applications and challenges is provided.
Journal ArticleDOI

Drone networks: Communications, coordination, and sensing

TL;DR: A high-level architecture is described for the design of a collaborative aerial system consisting of drones with on-board sensors and embedded processing, coordination, and networking capabilities that has potential in disaster assistance, search and rescue, and aerial monitoring.
Journal ArticleDOI

Embodied Conversational Agent-Based Kiosk for Automated Interviewing

TL;DR: An automated kiosk that uses embodied intelligent agents to interview individuals and detect changes in arousal, behavior, and cognitive effort by using psychophysiological information systems was created and smiling agents were perceived as more likable than neutral demeanor agents.
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Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study

TL;DR: A taxonomy that provides an overview and categorization of some existing consensus models for group decision making problems defined in a fuzzy context, taking into account the main features of each model is proposed.
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.
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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.