Multi-agent action modeling through action sequences and perspective fluents

Chitta Baral, Gregory Gelfond, Enrico Pontelli, Iran Cao Son

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


Actions in a multi-agent setting have complex characteristics. They may not only affect the real world, but also affect the knowledge and beliefs of agents in the world. In many cases, the effect on the beliefs or knowledge of an agent is not due to that agent actively doing some actions, but could be simply the result of that agent's perspective in terms of where it is looking. In dynamic epistemic logic (DEL), such multi-agent actions are expressed as complex constructs or as Kripke model type structures. This paper uses the multi-agent action language mA+ to show how one can take advantage of some of the perspective fluents of the world to model complex actions, in the sense of DEL, as simple action sequences. The paper describes several plan modules using such actions. Such plan modules will be helpful in planning for belief and knowledge goals in a multi-agent setting, as planning from scratch would often be prohibitively time consuming.

Original languageEnglish (US)
Title of host publicationLogical Formalizations of Commonsense Reasoning - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Number of pages7
ISBN (Electronic)9781577357087
StatePublished - 2015
Event2015 AAAI Spring Symposium - Palo Alto, United States
Duration: Mar 23 2015Mar 25 2015

Publication series

NameAAAI Spring Symposium - Technical Report


Other2015 AAAI Spring Symposium
Country/TerritoryUnited States
CityPalo Alto

ASJC Scopus subject areas

  • Artificial Intelligence


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