{"type":"ScholarlyArticle","title":"Catcher-Evader Games","authors":[{"name":"Yuqian Li","slug":"yuqian-li","given":"Yuqian","family":"Li","affiliation":""},{"name":"Vincent Conitzer","slug":"vincent-conitzer","given":"Vincent","family":"Conitzer","affiliation":""},{"name":"Dmytro Korzhyk","slug":"dmytro-korzhyk","given":"Dmytro","family":"Korzhyk","affiliation":""}],"abstract":"Algorithms for computing game-theoretic solutions have recently been applied to a number of security domains. However, many of the techniques developed for compact representations of security games do not extend to Bayesian security games, which allow us to model uncertainty about the attacker's type. In this paper, we introduce a general framework of catcher-evader games that can capture Bayesian security games as well as other game families of interest. We show that computing Stackelberg strategies is NP-hard, but give an algorithm for computing a Nash equilibrium that performs well in experiments. We also prove that the Nash equilibria of these games satisfy the interchangeability property, so that equilibrium selection is not an issue.","doi":null,"url":"https://ijcai.org/proceedings/2016/54","pdf":"https://ijcai.org/proceedings/2016/0054.pdf","markdown":"https://ijcai.org/proceedings/2016/54.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/54","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":54,"pages":{"first":329,"last":336},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}