{"id":155169,"date":"2006-01-01T00:00:00","date_gmt":"2006-01-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/implementation-with-a-bounded-action-space\/"},"modified":"2018-10-16T21:59:41","modified_gmt":"2018-10-17T04:59:41","slug":"implementation-with-a-bounded-action-space","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/implementation-with-a-bounded-action-space\/","title":{"rendered":"Implementation with a bounded action space"},"content":{"rendered":"<p>While traditional mechanism design typically assumes isomorphism between the agents&#8217; type- and action spaces, in many situations the agents face strict restrictions on their action space due to, e.g., technical, behavioral or regulatory reasons. We devise a general framework for the study of mechanism design in single-parameter environments with restricted action spaces. Our contribution is threefold. First, we characterize suffi\u000ecient conditions under which the information-theoretically optimal social-choice rule can be implemented in dominant strategies, and prove that any multi-linear social-choice rule is dominant-strategy implementable with no additional cost. Second, we identify necessary conditions for the optimality of action-bounded mechanisms, and fully characterize the optimal mechanisms and strategies in games with two players and two alternatives. Finally, we prove that for any multilinear social-choice rule, the optimal mechanism with k actions incurs an expected loss of O( 1 k2 ) compared to the optimal mechanisms with unrestricted action spaces. Our results apply to various economic and computational settings, and we demonstrate their applicability to signaling games, public-good models and routing in networks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>While traditional mechanism design typically assumes isomorphism between the agents&#8217; type- and action spaces, in many situations the agents face strict restrictions on their action space due to, e.g., technical, behavioral or regulatory reasons. We devise a general framework for the study of mechanism design in single-parameter environments with restricted action spaces. Our contribution is [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"Proceedings of the 7th ACM conference on Electronic commerce","msr_chapter":"","msr_edition":"Proceedings of the 7th ACM conference on Electronic commerce","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"62\u201371","msr_page_range_start":"62","msr_page_range_end":"71","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the 7th ACM conference on Electronic 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