Bibliographic Details
| Title: |
Multi-agent based classification using argumentation from experience. |
| Authors: |
Wardeh, Maya1 maya.wardeh@liverpool.ac.uk, Coenen, Frans1 coenen@liverpool.ac.uk, Bench-Capon, Trevor1 tbc@liverpool.ac.uk |
| Source: |
Autonomous Agents & Multi-Agent Systems. Nov2012, Vol. 25 Issue 3, p447-474. 28p. |
| Subjects: |
Multiagent systems, Data mining, Data integration, Database management, Machine learning, Self-organizing systems |
| Abstract: |
An approach to classification using a multi-agent system founded on an Argumentation from Experience paradigm is proposed. The technique is based on the idea that classification can be conducted as a process whereby a group of agents 'argue' about the classification of a given case according to their experience as recorded in individual local data sets. The paper describes mechanisms whereby this can be achieved, which have been realised in the PISA framework. The framework allows both the possibility of agents operating in groups (coalitions) and migrating between groups. The proposed multi-agent classification using the Argumentation from Experience paradigm has been used to address standard, ordinal and unbalanced classification problems with good results. A full evaluation, in the context of these applications, is presented. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
