Title
An argumentation framework for learning, information exchange, and joint-deliberation in multi-agent systems
Abstract
Case-Based Reasoning CBR can give agents the capability of learning from their own experience and solve new problems, however, in a multi-agent system, the ability of agents to collaborate is also crucial. In this paper we present an argumentation framework AMAL designed to provide learning agents with collaborative problem solving joint deliberation and information sharing capabilities learning from communication. We will introduce the idea of CBR multi-agent systems MAC systems, outline our argumentation framework and provide several examples of new tasks that agents in a MAC system can undertake thanks to the argumentation processes.
Year
DOI
Venue
2011
10.3233/MGS-2011-0169
Multiagent and Grid Systems
Keywords
Field
DocType
joint deliberation,mac system,argumentation process,new task,multi-agent system,argumentation framework,new problem,information exchange,collaborative problem,case-based reasoning,cbr multi-agent system
Deliberation,Argumentation framework,Computer science,Information exchange,Argumentation theory,Multi-agent system,Collaborative Problem Solving,Information sharing,Management science
Journal
Volume
Issue
ISSN
7
2
1574-1702
Citations 
PageRank 
References 
2
0.36
18
Authors
2
Name
Order
Citations
PageRank
Santiago Ontaòón151.47
Enric Plaza245745.38