Paper Info
Title
Improving the Team-work in Heterogeneous Multi-agent Systems: Situation Matching Approach
Abstract
This paper presents a method called “Situation Matching” that aids to improve cooperative tasks in heterogeneous multi-agent systems. The situation matching (SM) above represent a match between the system requirements and the agents' capabilities. In this sense, the agents have a set of information denoted “Agent Situation” by means of three parameters: Proximity, Introspection and Trust. Thus, the agents are represented by autonomous mobile cooperative robots. In our approach, the agents have different controllers to generate dynamic diversity (heterogeneity) in the system. So, these systems can be considered as a team of heterogeneous agents that must work together to fulfill some cooperative tasks. In particular, this paper studies how the heterogeneous agents' performance improves by means of the “situation matching”. Conclusions show the advantages of our proposal in the improvement of intelligent agents' performance in the robot soccer testbed.
Year
Venue
Keywords
2006
CCIA
heterogeneous multi-agent systems,cooperative task,situation matching,autonomous mobile cooperative robot,dynamic diversity,heterogeneous multi-agent system,paper study,situation matching approach,heterogeneous agent,different controller,agent situation,system requirement,team work,intelligent agent,multi agent system
Field
DocType
Volume
Introspection,Teamwork,Intelligent agent,Computer science,Testbed,Agent architecture,Multi-agent system,Human–computer interaction,Artificial intelligence,Robot,System requirements
Conference
146
ISSN
ISBN
Citations 
0922-6389
1-58603-663-7
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Salvador Ibarra101.01
Christian G. Quintero284.81
Didac Busquets3373.63
Josep Antoni Ramon452.62
Josep Ll. de la Rosa500.34
José A. Castán641.63