TYPES AND PRIORITIES OF
MULTI-AGENT SYSTEM INTERACTIONS
Martin Ngobye1, Wouter T. de Groot2, 3 and Theo P. van der Weide1
1Institute of Computing and Information Sciences, Radboud UniversityNijmegen, The Netherlands
2Institute for Science, Innovation & Society, Radboud University
Nijmegen, The Netherlands
3Institute of Environmental Sciences, Leiden University
Nijmegen, The Netherlands
Received: 29. December 2009. Accepted: 30. June 2010.
ABSTRACT
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'.
KEY WORDS
multi-agent systems, social learning, reciprocal relationships
CLASSIFICATION
ACM: I.2
JEL: C63, C69
Full paper as pdf version.