{"pk":28042,"title":"DeepColor: Reinforcement Learning optimizes information efficiency andwell-formedness in color name partitioning","subtitle":null,"abstract":"As observed in the World Color Survey (WCS), some univer-sal properties can be identified in color naming schemes overa large number of languages. For example, Regier, Kay, andKhetrapal (2007) and Regier, Kemp, and Kay (2015); Gib-son et al. (2017) recently explained these universal patterns interms of near optimal color partitions and information theoreticmeasures of efficiency of communication. Here, we introducea computational learning framework with multi-agent systemstrained by reinforcement learning to investigate these universalproperties. We compare the results with Regier et al. (2007,2015) and show that our model achieves excellent quantitativeagreement. This work introduces a multi-agent reinforcementlearning framework as a powerful and versatile tool to investi-gate such semantic universals in many domains and contributesignificantly to central questions in cognitive science.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"color naming; world color survey; reinforcementlearning"}],"section":"Publication-based-Talks","is_remote":true,"remote_url":"https://escholarship.org/uc/item/3p43k82r","frozenauthors":[{"first_name":"Mikael","middle_name":"","last_name":"Kageback","name_suffix":"","institution":"Chalmers University of Technology","department":""},{"first_name":"Devdatt","middle_name":"","last_name":"Dubhashi","name_suffix":"","institution":"Chalmers University of Technology","department":""},{"first_name":"Asad","middle_name":"","last_name":"Sayeed","name_suffix":"","institution":"University of Gothenburg","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2018-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28042/galley/17681/download/"}]}