Modeling multi-agent domains in an action languages: An empirical study using

Chitta Baral, Tran Cao Son, Enrico Pontelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In the last two decades there has been a lot of research on action languages and reasoning about actions. Most of this research assume a domain with a single agent and possibly the environment. In this short paper we explore the relevance of this research vis-a-vis modeling multi-agent domains. We use the action language and show that with minimal extensions it can capture several multi-agent domains from the literature.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages409-415
Number of pages7
Volume5753 LNAI
DOIs
StatePublished - 2009
Event10th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2009 - Potsdam, Germany
Duration: Sep 14 2009Sep 18 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5753 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2009
CountryGermany
CityPotsdam
Period9/14/099/18/09

Fingerprint

Empirical Study
Modeling
Reasoning about Actions
Language
Relevance

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Baral, C., Son, T. C., & Pontelli, E. (2009). Modeling multi-agent domains in an action languages: An empirical study using. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5753 LNAI, pp. 409-415). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5753 LNAI). https://doi.org/10.1007/978-3-642-04238-6_35

Modeling multi-agent domains in an action languages : An empirical study using. / Baral, Chitta; Son, Tran Cao; Pontelli, Enrico.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5753 LNAI 2009. p. 409-415 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5753 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Baral, C, Son, TC & Pontelli, E 2009, Modeling multi-agent domains in an action languages: An empirical study using. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5753 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5753 LNAI, pp. 409-415, 10th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2009, Potsdam, Germany, 9/14/09. https://doi.org/10.1007/978-3-642-04238-6_35
Baral C, Son TC, Pontelli E. Modeling multi-agent domains in an action languages: An empirical study using. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5753 LNAI. 2009. p. 409-415. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-04238-6_35
Baral, Chitta ; Son, Tran Cao ; Pontelli, Enrico. / Modeling multi-agent domains in an action languages : An empirical study using. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5753 LNAI 2009. pp. 409-415 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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