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Titlebook: Design Computing and Cognition ‘06; JOHN S. GERO Conference proceedings 2006 Springer Science+Business Media B.V. 2006 Bayesian network.Ex

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書(shū)目名稱(chēng)Design Computing and Cognition ‘06
編輯JOHN S. GERO
視頻videohttp://file.papertrans.cn/269/268367/268367.mp4
概述Cutting edge design.Brings design computing and design cognition together.Design collaboration
圖書(shū)封面Titlebook: Design Computing and Cognition ‘06;  JOHN S. GERO Conference proceedings 2006 Springer Science+Business Media B.V. 2006 Bayesian network.Ex
描述.This is the second volume of the new conference series Design Computing and Cognition (DCC) that takes over from and subsumes the successful series Artificial Intelligence in Design (AID) published by Kluwer since 1992. The AID volumes have become standard reference texts for the field. It is expected that the DCC volumes will perform the same role. ...This new biennial conference series provides an international forum for the presentation and discussion of state-of-the-art and cutting-edge design research. The conference proceedings will form a continuing archive of design computing and cognition research. ...Design is a fundamentally important topic in disciplines ranging from the more commonly associated fields of architecture and engineering to emerging areas in the social sciences and life sciences. Design is the key to economic competitiveness and the fundamental precursor to objects - both physical and virtual - and services. ...The conference theme of design computing and cognition recognizes not only the essential relationship between human cognitive processes as models of computation but also how models of computation inspire conceptual realizations of human cognition..
出版日期Conference proceedings 2006
關(guān)鍵詞Bayesian network; Extension; agent-based model; architecture; artificial intelligence; cognition; evolutio
版次1
doihttps://doi.org/10.1007/978-1-4020-5131-9
isbn_softcover978-94-007-9260-9
isbn_ebook978-1-4020-5131-9
copyrightSpringer Science+Business Media B.V. 2006
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ANALOGICAL MATCHING USING DEVICE-CENTRIC AND ENVIRONMENT-CENTRIC REPRESENTATIONS OF FUNCTIONC) vs. device-centric (DC) representations. We use the Structure Mapping Engine for matching, and seek to show the effect on quality and quantity of analogical matches when the representation is varied.
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