Interactive dynamic influence diagrams for relational agents

Yinghui Pan, Yingke Chen, Jing Tang, Yifeng Zeng

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

Abstract

Interactive Dynamic Influence Diagrams (I-DIDs) are a general decision making framework for multiple agents that are either collaborative or competitive. The framework allows for agents to plan individually at their own level in the context of other agents acting and observing in a partially observable environment. Most of the I-DID techniques focus on a simple setting of two agents in which one subject agent models the other agent. Extending the approaches to multiple (>2) agents becomes very complicated since the subject agent needs to model all other agents that themselves are modelled as the I-DIDs. In this paper, we exploit potential relations of the modelled agents and avoid to model the other agents individually from the perspective of the subject agent. We show the preliminary results from the investigation and discuss further research development on learning relations between multiple agents for new I-DID solutions.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages233-234
Number of pages2
ISBN (Electronic)9781467396172
DOIs
Publication statusPublished - 2 Feb 2016
Event2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops - Singapore, Singapore
Duration: 6 Dec 20159 Dec 2015

Conference

Conference2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops
Abbreviated titleWI-IAT Workshops 2015
CountrySingapore
CitySingapore
Period6/12/159/12/15

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  • Cite this

    Pan, Y., Chen, Y., Tang, J., & Zeng, Y. (2016). Interactive dynamic influence diagrams for relational agents. In Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015 (pp. 233-234). [7397467] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WI-IAT.2015.118