Simulating Similarity-Based Retrieval: Keith Law

نویسندگان

  • Kenneth D. Forbus
  • Dedre Gentner
چکیده

cumnt lilcorh and supporting simulations of similaritybased retrieval disagree in their pDcess model of m a n t i c similarity decisions. We compare two current cornputatid simulations d similarity-ked retrieval, h4AC/FAC and ARCS, with particular attention to the semantic similarity modcls used in each. Fwr experiments are presented cunpciring the pcrfmmance d these simulations on a carunon set of representations. The results suggest that MAC/FAC, with its identicality-based constraint on semantic similarity. provides a better account of retrieval than ARCS, with its similarity-table based model

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تاریخ انتشار 2002