{"type":"ScholarlyArticle","title":"Deriving Multi-Agent Coordination through Filtering Strategies","authors":[{"name":"Eithan Ephrati","slug":"eithan-ephrati","given":"Eithan","family":"Ephrati","affiliation":""},{"name":"Martha E. Pollack","slug":"martha-e-pollack","given":"Martha E.","family":"Pollack","affiliation":""},{"name":"Sigalit Ur","slug":"sigalit-ur","given":"Sigalit","family":"Ur","affiliation":""}],"abstract":"We examine an approach to multi-agent coordination that builds on earlier work on enabling single agents to control their reasoning in dynamic environments. Specifically, we study a generalization of the filtering strategy. Where single-agent filtering means tending to bypass options that are incompatible with an agent's own goals, multi-agent filtering means tending to bypass options that are incompatible with other agents' known or presumed goals. We examine several versions of multi-agent filtering, which range from purely implicit to minimally explicit, and discuss the trade -offs among these. We also describe a series of experiments that demonstrate initial results about the feasibility of using multi-agent filtering to achieve coordination without explicit negotiation.","doi":null,"url":"https://ijcai.org/proceedings/1995/89","pdf":"https://ijcai.org/proceedings/1995/0089.pdf","markdown":"https://ijcai.org/proceedings/1995/89.md","bibtex":"https://ijcai.org/proceedings/1995/bibtex/89","volume":{"slug":"1995","title":"Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1995","url":"https://ijcai.org/proceedings/1995/","year":1995,"location":"Montréal, Québec, Canada","dates":"","editors":"Chris S. Mellish","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Distributed AI","track":"Distributed AI","number":89,"pages":{"first":679,"last":686},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}