Assessing whether an agent has abandoned a goal is important when multiple agents are trying to achieve joint goals, or when agents commit to achieving goals for each other. Making such an inference for a single goal by observing only plan traces is not a trivial task because agents often deviate from the optimal plans for various reasons, including the pursuit of multiple goals or the inability to act optimally. In this paper, we develop an approach that uses plan optimality monitoring techniques to determine whether an agent will honour a commitment. Specifically, to determine commitment abandonment, we use these techniques with planning fact partitions (e.g., dead-ends). Our approach is domain-independent and detects commitment abandonment in nearly all cases.
|Title of host publication||AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems|
|Editors||Kate Larson, Michael Winikoff, Sanmay Das, Edmund Durfee|
|Publisher||International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)|
|Number of pages||3|
|Publication status||Published - 8 May 2017|
|Event||16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 - Sao Paulo, Brazil|
Duration: 8 May 2017 → 12 May 2017
|Conference||16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017|
|Period||8/05/17 → 12/05/17|
- Plan execution
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Systems Engineering
Pereira, R. F., Oren, N., & Meneguzzi, F. (2017). Detecting commitment abandonment by monitoring sub-optimal steps during plan execution. In K. Larson, M. Winikoff, S. Das, & E. Durfee (Eds.), AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (Vol. 3, pp. 1685-1687). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).