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  1.  17
    Extending SME to Handle Large‐Scale Cognitive Modeling.Kenneth D. Forbus, Ronald W. Ferguson, Andrew Lovett & Dedre Gentner - 2017 - Cognitive Science 41 (5):1152-1201.
    Analogy and similarity are central phenomena in human cognition, involved in processes ranging from visual perception to conceptual change. To capture this centrality requires that a model of comparison must be able to integrate with other processes and handle the size and complexity of the representations required by the tasks being modeled. This paper describes extensions to Structure-Mapping Engine since its inception in 1986 that have increased its scope of operation. We first review the basic SME algorithm, describe psychological evidence (...)
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  2.  18
    MAC/FAC: A Model of Similarity‐Based Retrieval.Kenneth D. Forbus, Dedre Gentner & Keith Law - 1995 - Cognitive Science 19 (2):141-205.
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  3.  6
    The Roles of Similarity in Transfer: Separating Retrievability From Inferential Soundness.Kenneth D. Forbus, Dedre Gentner & Mary Jo Rattermann - 1993 - Cognitive Psychology 25 (4).
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  4.  16
    Reviving Inert Knowledge: Analogical Abstraction Supports Relational Retrieval of Past Events.Dedre Gentner, Jeffrey Loewenstein, Leigh Thompson & Kenneth D. Forbus - 2009 - Cognitive Science 33 (8):1343-1382.
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  5.  12
    Incremental Structure-Mapping.Kenneth D. Forbus, Ronald W. Ferguson & Dedre Gentner - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. pp. 313--318.
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  6.  84
    AI and Cognitive Science: The Past and Next 30 Years.Kenneth D. Forbus - 2010 - Topics in Cognitive Science 2 (3):345-356.
    Artificial Intelligence (AI) is a core area of Cognitive Science, yet today few AI researchers attend the Cognitive Science Society meetings. This essay examines why, how AI has changed over the last 30 years, and some emerging areas of potential interest where AI and the Society can go together in the next 30 years, if they choose.
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  7.  22
    Representation and Computation in Cognitive Models.Kenneth D. Forbus, Chen Liang & Irina Rabkina - 2017 - Topics in Cognitive Science 9 (3):694-718.
    One of the central issues in cognitive science is the nature of human representations. We argue that symbolic representations are essential for capturing human cognitive capabilities. We start by examining some common misconceptions found in discussions of representations and models. Next we examine evidence that symbolic representations are essential for capturing human cognitive capabilities, drawing on the analogy literature. Then we examine fundamental limitations of feature vectors and other distributed representations that, despite their recent successes on various practical problems, suggest (...)
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  8.  7
    Evidence From Machines That Learn and Think Like People.Kenneth D. Forbus & Dedre Gentner - 2017 - Behavioral and Brain Sciences 40.
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