Challenges for a CBR framework for argumentation in open MAS

Content Provider	Scilit
Author	Heras, Stella Botti, Vicente Julián, Vicente
Copyright Year	2009
Description	Nowadays, Multi-Agent Systems (MAS) are broadening their applications to open environments, where heterogeneous agents could enter into the system, form agents’ organizations and interact. The high dynamism of open MAS gives rise to potential conflicts between agents and thus, to a need for a mechanism to reach agreements. Argumentation is a natural way of harmonizing conflicts of opinion that has been applied to many disciplines, such as Case-Based Reasoning (CBR) and MAS. Some approaches that apply CBR to manage argumentation in MAS have been proposed in the literature. These improve agents’ argumentation skills by allowing them to reason and learn from experiences. In this paper, we have reviewed these approaches and identified the current contributions of the CBR methodology in this area. As a result of this work, we have proposed several open issues that must be taken into consideration to develop a CBR framework that provides the agents of an open MAS with arguing and learning capabilities.
Related Links	https://riunet.upv.es/bitstream/10251/44424/2/HerasKER413.pdf https://www.cambridge.org/core/services/aop-cambridge-core/content/view/DAF7B35249CFB409D5FA1596D585D2F9/S0269888909990178a.pdf/div-class-title-challenges-for-a-cbr-framework-for-argumentation-in-open-mas-div.pdf
Ending Page	352
Page Count	26
Starting Page	327
ISSN	02698889
e-ISSN	14698005
DOI	10.1017/s0269888909990178
Journal	The Knowledge Engineering Review
Issue Number	4
Volume Number	24
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	2009-12-01
Access Restriction	Open
Subject Keyword	The Knowledge Engineering Review Cybernetical Science
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software