Open Access
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.read more
Citations
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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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BookDOI
Declarative agent languages and technologies: Revised selected and invited papers from the 1st International Workshop on Declarative Agent Languages and Technologies (DALT 2003), Melbourne, Victoria, Australia, 15 July 2003
TL;DR: This paper shows how to model complex agent systems, integrating quantitative, numerical and qualitative, logical aspects, and how to combine logical and mathematical analysis methods.
Journal ArticleDOI
Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration.
TL;DR: The ontology-based PLM model enables as well the horizontal integration of heterogeneous PLM data while breaking traditional vertical information silos, and a semantic data annotation applied to IoT can contribute to enhancing collected data types, which entails a richer knowledge extraction.
Journal ArticleDOI
Behavioral modeling and verification of multi-agent systems for manufacturing control
TL;DR: This work describes an efficient and scalable approach to formal verification based on an industrial-strength model checking tool and illustrates it with an example.
Book ChapterDOI
Supporting Renewable Power Supply through Distributed Coordination of Energy Resources
TL;DR: DVPP is introduced as a first prototype of distributed controlled components of a Smart Grid, suggesting distributed, agent-based and self-organized control algorithms for distributed units in a “Smart Grid” as a promising but challenging solution.
Proceedings ArticleDOI
Agents and databases: friends or foes?
Peter C. Lockemann,René Witte +1 more
TL;DR: It is argued that the ensuing uncertainty in distributed databases can be modelled by beliefs, and the basic concepts for adjusting peer-to-peer databases to the individual beliefs in single nodes and collective beliefs in the entire distributed database are developed.