Plan Recognition Design

Reuth Mirsky, Roni Stern, Meir Kalech, Yakov Gal

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


Goal Recognition Design (GRD) is the problem of designing a domain in a way that will allow easy identification of agents’ goals. This work extends the original GRD problem to the Plan Recognition Design (PRD) problem which is the task of designing a domain using plan libraries in order to facilitate fast identification of an agent’s plan. While GRD can help to explain faster which goal the agent is trying to achieve, PRD can help in faster understanding of how the agent is going to achieve its goal. we define a new measure that quantifies the worst-case distinctiveness of a given planning domain, propose a method to reduce it in a given domain and show the reduction of this new measure in three domains from the literature.
Original languageEnglish
Title of host publicationProceedings of the Thirty-First AAAI Conference on Artificial Intelligence
Place of PublicationSan Francisco, California USA
PublisherAAAI Press
Number of pages2
Publication statusPublished - 21 Mar 2017
EventThirty-First AAAI Conference on Artificial Intelligence - San Francisco, United States
Duration: 4 Feb 20179 Feb 2017

Publication series

ISSN (Print)2159-5399
ISSN (Electronic)2374-3468


ConferenceThirty-First AAAI Conference on Artificial Intelligence
Abbreviated titleAAAI 2017
Country/TerritoryUnited States
CitySan Francisco


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