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An Argumentation-based Approach for Identifying and Dealing with Incompatibilities among Procedural Goals
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4072-8795
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil.
Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain.
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2019 (English)In: International Journal of Approximate Reasoning, ISSN 0888-613X, E-ISSN 1873-4731, Vol. 105, p. 1-26Article in journal (Refereed) Published
Abstract [en]

During the first step of practical reasoning, i.e. deliberation, an intelligent agent generates a set of pursuable goals and then selects which of them he commits to achieve. An intelligent agent may in general generate multiple pursuable goals, which may be incompatible among them. In this paper, we focus on the definition, identification and resolution of these incompatibilities. The suggested approach considers the three forms of incompatibility introduced by Castelfranchi and Paglieri, namely the terminal incompatibility, the instrumental or resources incompatibility and the superfluity. We characterize computationally these forms of incompatibility by means of arguments that represent the plans that allow an agent to achieve his goals. Thus, the incompatibility among goals is defined based on the conflicts among their plans, which are represented by means of attacks in an argumentation framework. We also work on the problem of goals selection; we propose to use abstract argumentation theory to deal with this problem, i.e. by applying argumentation semantics. We use a modified version of the “cleaner world” scenario in order to illustrate the performance of our proposal.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 105, p. 1-26
Keywords [en]
Intelligent agents, Goals conflicts, Argumentation, Goals incompatibility, Practical reasoning
National Category
Computer Systems
Research subject
computer and systems sciences
Identifiers
URN: urn:nbn:se:umu:diva-154428DOI: 10.1016/j.ijar.2018.10.015OAI: oai:DiVA.org:umu-154428DiVA, id: diva2:1271665
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2019-01-25Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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