Strategies in game theory and multi-agent logics are mathematical objects of remarkable combinatorial complexity Recently, the concept of natural strategies has been proposed to model more human-like reasoning about simple plans and their outcomes So far, the theory of such simple strategic play was only considered in scenarios where all the agents have perfect information about the state of the game In this paper, we extend the notion of natural strategies to games with imperfect information We also show that almost all the complexity results for model checking carry over from the perfect to imperfect information setting That is, verification of natural strategies is usually no more complex for agents with uncertainty This tells games of natural strategic ability clearly apart from most results in game theory and multi-agent logics. © 2019 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org) Ail rights reserved.
Natural strategic ability under imperfect information / Jamroga, W.; Malvone, V.; Murano, A.. - 2:(2019), pp. 962-970. (Intervento presentato al convegno Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems) [10.1007/978-3-642-33353-8_34].
Natural strategic ability under imperfect information
Jamroga, W.
;Malvone, V.
;Murano, A.
2019
Abstract
Strategies in game theory and multi-agent logics are mathematical objects of remarkable combinatorial complexity Recently, the concept of natural strategies has been proposed to model more human-like reasoning about simple plans and their outcomes So far, the theory of such simple strategic play was only considered in scenarios where all the agents have perfect information about the state of the game In this paper, we extend the notion of natural strategies to games with imperfect information We also show that almost all the complexity results for model checking carry over from the perfect to imperfect information setting That is, verification of natural strategies is usually no more complex for agents with uncertainty This tells games of natural strategic ability clearly apart from most results in game theory and multi-agent logics. © 2019 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org) Ail rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
