Types and Priorities of Multi-Agent System Interactions

Multi-Agent Systems may be classifed as containing No Direct Interactions, Simple Interactions or Complex, Conditional Interactions between agents. This paper argues and illustrates that models with simple interactions, even though possibly less fascinating for the Multi-agent system theorists than...

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Bibliographic Details
Published in:Interdisciplinary description of complex systems 2010-07, Vol.8 (1), p.49-58
Main Authors: Ngobye, Martin, de Groot, Wouter T, Theo P van der Weide
Format: Article
Language:English
Subjects:
Bayesian analysis
Interaction models
multi-agent systems
Multiagent systems
reciprocal relationships
Social discrimination learning
social learning
Online Access:Get full text
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Summary:Multi-Agent Systems may be classifed as containing No Direct Interactions, Simple Interactions or Complex, Conditional Interactions between agents. This paper argues and illustrates that models with simple interactions, even though possibly less fascinating for the Multi-agent system theorists than complex interaction models are, deserve more attention in the Multi-agent system community. Simple interaction models may contain social learning and reciprocal relationships. Maybe most importantly, Simple interaction models enable cross-scale connections by linking local to global actors in their local and global 'life worlds'.
ISSN:1334-4684
1334-4676