Conference proceeding
Empirical Argumentation: Integrating Induction and Argumentation in MAS
ARGUMENTATION IN MULTI-AGENT SYSTEMS (ARGMAS), v 6614, pp 49-67
01 Jan 2011
Abstract
This paper presents an approach that integrates notions and techniques from two distinct fields of study -namely inductive learning and argumentation in multiagent systems (MAS). We will first discuss inductive learning and the role argumentation plays in multiagent inductive learning. Then we focus on how inductive learning can be used to realize argumentation in MAS based on empirical grounds. We present a MAS framework for empirical argumentation, A-MAIL, and then we show how this is applied to a particular task where two agents argue in order to reach agreement on a particular topic. Finally, an experimental evaluation of the approach is presented evaluating the quality of the agreements achieved by the empirical argumentation process.
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Details
- Title
- Empirical Argumentation: Integrating Induction and Argumentation in MAS
- Creators
- Santiago Ontanon - Artificial Intelligence Research InstituteEnric Plaza - Artificial Intelligence Research Institute
- Contributors
- P McBurney (Editor)Rahwan (Editor)S Parsons (Editor)
- Publication Details
- ARGUMENTATION IN MULTI-AGENT SYSTEMS (ARGMAS), v 6614, pp 49-67
- Series
- Lecture Notes in Artificial Intelligence
- Publisher
- Springer Nature
- Number of pages
- 19
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000312791800004
- Scopus ID
- 2-s2.0-84857475735
- Other Identifier
- 991021869010904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence