Journal article
Partially observable game-theoretic agent programming in Golog
- Abstract:
- In this paper, we present the agent programming language POGTGolog (Partially Observable Game-Theoretic Golog), which integrates explicit agent programming in Golog with game-theoretic multi-agent planning in partially observable stochastic games. In this framework, we assume one team of cooperative agents acting under partial observability, where the agents may also have different initial belief states and not necessarily the same rewards. POGTGolog allows for specifying a partial control program in a high-level logical language, which is then completed by an interpreter in an optimal way. To this end, we define a formal semantics of POGTGolog programs in terms of Nash equilibria, and we then specify a POGTGolog interpreter that computes one of these Nash equilibria.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Accepted manuscript, pdf, 396.2KB, Terms of use)
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- Publisher copy:
- 10.1016/j.ijar.2019.12.017
Authors
- Publisher:
- Elsevier
- Journal:
- International Journal of Approximate Reasoning More from this journal
- Volume:
- 119
- Pages:
- 220-241
- Publication date:
- 2020-01-17
- Acceptance date:
- 2019-12-16
- DOI:
- ISSN:
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0888-613X
- Language:
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English
- Keywords:
- Pubs id:
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pubs:1082441
- UUID:
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uuid:6f9e6eb1-f4e9-4fae-8111-8def7d64b70b
- Local pid:
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pubs:1082441
- Source identifiers:
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1082441
- Deposit date:
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2020-01-14
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Inc.
- Copyright date:
- 2020
- Rights statement:
- © 2020 Elsevier Inc. All rights reserved.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.ijar.2019.12.017
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