{"pk":30911,"title":"Brainstormer: A Model of Advice-Taking","subtitle":null,"abstract":"Research on advice-taking in artificial intelligence is motivated by the promise of knowledge-based systems that can accept high-level, human-like instruction [11]. Examining the activity of human advice-taking is a way of determining the key computational problems that a fully automated advice taker must solve. In this paper, we identify three features of human advice-taking that pose computational problems, and address them in the context of brainstormer, a planning system that takes advice in the domain of terrorist crisis management.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Paper Presentations -- Group 1: Reasoning","is_remote":true,"remote_url":"https://escholarship.org/uc/item/93r79880","frozenauthors":[{"first_name":"Eric","middle_name":"K.","last_name":"Jones","name_suffix":"","institution":"Northwestern University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1990-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30911/galley/20760/download/"}]}