A logical modeling of the Yōkai board game

Issue title: Special section: Formal tools and methods of Artificial Intelligence

Guest editors: Zied Bouraoui and Anaëlle Wilczynski

Article type: Research Article

Authors: Fernandez, Jorge^{; *} | Longin, Dominique | Lorini, Emiliano | Maris, Frédéric

Affiliations: IRIT, Université de Toulouse, CNRS, Toulouse INP, UT3, France

Correspondence: [*] Corresponding author. E-mail: Jorge.Fernandez@irit.fr.

Abstract: We present an epistemic language for representing an artificial player’s beliefs and actions in the context of the Yōkai board game. Yōkai is a cooperative game which requires a combination of Theory of Mind (ToM), temporal and spatial reasoning to be played effectively by an artificial agent. We show that the language properly accounts for these three dimensions and that its satisfiability problem is NP-complete. This opens up the possibility of exploiting SAT techniques for automating reasoning of an artificial player in the context of the Yōkai board-game.

Keywords: Modal logic, cognitive states, planning, game board modeling

DOI: 10.3233/AIC-230050

Journal: AI Communications, vol. 37, no. 3, pp. 265-298, 2024