English

On verifying expectations and observations of intelligent agents

Logic in Computer Science 2022-05-13 v2 Artificial Intelligence Computational Complexity

Abstract

Public observation logic (POL) is a variant of dynamic epistemic logic to reason about agent expectations and agent observations. Agents have certain expectations, regarding the situation at hand, that are actuated by the relevant protocols, and they eliminate possible worlds in which their expectations do not match with their observations. In this work, we investigate the computational complexity of the model checking problem for POL and prove its PSPACE-completeness. We also study various syntactic fragments of POL. We exemplify the applicability of POL model checking in verifying different characteristics and features of an interactive system with respect to the distinct expectations and (matching) observations of the system. Finally, we provide a discussion on the implementation of the model checking algorithms.

Keywords

Cite

@article{arxiv.2205.00784,
  title  = {On verifying expectations and observations of intelligent agents},
  author = {Sourav Chakraborty and Avijeet Ghosh and Sujata Ghosh and François Schwarzentruber},
  journal= {arXiv preprint arXiv:2205.00784},
  year   = {2022}
}

Comments

Accepted in IJCAI-ECAI 2022