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 language | English (US) |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 409-415 |
| Number of pages | 7 |
| Volume | 5753 LNAI |
| DOIs | |
| State | Published - 2009 |
| Event | 10th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2009 - Potsdam, Germany Duration: Sep 14 2009 → Sep 18 2009 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5753 LNAI |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 10th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2009 |
|---|---|
| Country | Germany |
| City | Potsdam |
| Period | 9/14/09 → 9/18/09 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Modeling multi-agent domains in an action languages
T2 - An empirical study using
AU - Baral, Chitta
AU - Son, Tran Cao
AU - Pontelli, Enrico
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=70349878661&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04238-6_35
DO - 10.1007/978-3-642-04238-6_35
M3 - Conference contribution
AN - SCOPUS:70349878661
SN - 3642042376
SN - 9783642042379
VL - 5753 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 409
EP - 415
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -