Original scientific paper

Types and Priorities of Multi-Agent System Interactions

Martin Ngobye ; Institute of Computing and Information Sciences, Radboud University, Nijmegen
Wouter T. de Groot ; (a) Institute for Science, Innovation & Society, Radboud University, Nijmegen (b) Institute of Environmental Sciences, Leiden University, Leiden
Theo P. van der Weide ; Institute of Computing and Information Sciences, Radboud University, Nijmegen

Abstract

Multi-Agent Systems may be classified 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’.

Keywords

multi-agent systems; social learning; reciprocal relationships

Hrčak ID:

76790

URI

https://hrcak.srce.hr/76790

Publication date:

1.7.2010.

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