Spreading Activation over Distributed Microfeatures

One att·empt at explaining human inferencing is that of spread(cid: 173) ing activat, ion, particularly in the st. ructured connectionist para(cid: 173) digm. This has resulted in t. he building of systems with semanti(cid: 173) cally nameable nodes which perform inferencing by examining t. he pat, t. erns of activation spread. In this paper we demonst. rate t. hat simple structured network infert'ncing can be p(>rformed by passing art. iva. t. ion over the weights learned by a distributed alga(cid: 173) rit, hm. Thus, an account, is provided which explains a well(cid: 173) behaved rela t ionship bet. ween structured and distri butt'd conn('c(cid: 173) t. ionist. a. pproachrs.

Authors

• James Hendler

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