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 language | English |
---|---|
Title of host publication | IFAAMAS |
Place of Publication | London, UK |
Pages | 95-103 |
Number of pages | 9 |
Volume | 2023-May |
Publication status | Published - 29 May 2023 |
Event | The 22nd International Conference on Autonomous Agents and Multiagent Systems - London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 https://aamas2023.soton.ac.uk/ |
Publication series
Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
---|---|
ISSN (Print) | 1548-8403 |
Conference
Conference | The 22nd International Conference on Autonomous Agents and Multiagent Systems |
---|---|
Abbreviated title | AAMAS23 |
Country/Territory | United Kingdom |
City | London |
Period | 29/05/2023 → 2/06/2023 |
Internet address |
Keywords
- planning
- deception
- plan recognition
- domain-independent