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MATES
2009
Springer

Towards a Taxonomy of Decision Making Problems in Multi-Agent Systems

12 years 2 months ago
Towards a Taxonomy of Decision Making Problems in Multi-Agent Systems
Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and interactions. A MAS typically consists of many autonomous agents that act in highly complex, open and uncertain domains. A taxonomy can be used to make an informed choice of an efficient algorithmic solution to a class of decision making problems, but due to the complexity of the agents’ reasoning and modelling abilities, building such a taxonomy is difficult. This paper addresses this complexity by placing model representation, acquisition, use and refinement at the centre of our classification. We classify problems according to four agent modelling dimensions: model of self vs. model of others, learning vs. non-learning, individual vs. group input, and competition vs. collaboration. The main contributions are extensions of existing MAS taxonomies, a description of key principles and assumptions of agen...
Christian Guttmann
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where MATES
Authors Christian Guttmann
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