Abstract
This paper studies belief correction and state transition for ontic actions in a multi-agent epistemic framework. When a full observer agent observes the execution of an action, he will correct his (possibly wrong) initial belief about the precondition of the action as well as his belief about his own observability. The paper shows that correcting beliefs about precondition and observability is vital for observing the effect of the action and robust state transition, highlighting the risk of yielding counter-intuitive results. The paper proposes a state transition function for ontic actions which integrates correcting beliefs for precondition, observability and realizing the effect of the action. This novel transition function does not require event update models. The paper investigates several properties of the transition function, assessing its robustness in ensuring that beliefs of agents change consistently with their degree of observability of action occurrences. Sample scenarios are provided to illustrate the novel transition function.
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Notes
- 1.
Details of state transition in these examples can be found in our online appendix at https://github.com/yizmirlioglu/EPIA2022.
- 2.
The proposed approach can be easily extended to cover sensing and announcement actions. We omit it due to space limitation.
- 3.
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Acknowledgments
The authors have been partially supported by NSF grants 2151254, 1914635 and 1757207. Tran Cao Son was also partially supported by NSF grant 1812628.
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Izmirlioglu, Y., Pham, L., Son, T.C., Pontelli, E. (2022). A Robust State Transition Function for Multi-agent Epistemic Systems. In: Marreiros, G., Martins, B., Paiva, A., Ribeiro, B., Sardinha, A. (eds) Progress in Artificial Intelligence. EPIA 2022. Lecture Notes in Computer Science(), vol 13566. Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_56
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