Domain-Independent Deceptive Planning

Adrian Price*, Ramon Fraga Pereira, Peta Masters, Mor Vered

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

5 Citations (Scopus)
155 Downloads (Pure)

Abstract

We investigate deceptive planning, the problem of generating a plan such that an observer is unable to determine its ultimate goal. Most work in this area has focused on path and/or motion planning. However planning problems can be quite varied and challenging. We present domain-independent approaches for deceptive plan generation utilising the concepts of landmarks, centroids, and minimum covering states. We introduce new, domain-independent metrics to evaluate a plan’s deceptivity as a ratio between its deceptive quantity and cost; and we extensively evaluate the performance of our proposed approaches over widely different planning domains providing guidelines as to when to use each approach.
Original languageEnglish
Title of host publicationIFAAMAS
Place of PublicationLondon, UK
Pages95-103
Number of pages9
Volume2023-May
Publication statusPublished - 29 May 2023
EventThe 22nd International
Conference on Autonomous Agents and Multiagent Systems
- London, United Kingdom
Duration: 29 May 20232 Jun 2023
https://aamas2023.soton.ac.uk/

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
ISSN (Print)1548-8403

Conference

ConferenceThe 22nd International
Conference on Autonomous Agents and Multiagent Systems
Abbreviated titleAAMAS23
Country/TerritoryUnited Kingdom
CityLondon
Period29/05/20232/06/2023
Internet address

Keywords

  • planning
  • deception
  • plan recognition
  • domain-independent

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