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{ "pk": 31706, "title": "Analogical Similarity: Performing Structure Alignment in a Connectionist Network", "subtitle": null, "abstract": "We describe a connectionist network that performs a com-\nplex, cognitive task. In contrast, the majority of neural net-\nwork research has been devoted to connectionist networks\nthat perform low-level tasks, such as vision. Higher cogni-\ntive tasks, like categorization, analogy, imd similarity may\nultimately rest on alignment of the structured representa-\ntions of two domains. W e model human judgments of simi-\nlarity, as predicted by Structure-Mapping Theory, in the\none-shot mapping task. W e use a localist connectionist\nrepresentation in a Maricov Random Field formalism to\nperform cross-product matching on graph representations\nof propositions. The network performs structured analo-\ngies in its domain flexibly and robustly, resolving local and\nnon-local constraints at multiple levels of abstraction.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Submitted Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/6ct515f5", "frozenauthors": [ { "first_name": "Jonathan", "middle_name": "B.", "last_name": "Handler", "name_suffix": "", "institution": "The Institute for the Learning Sciences , Evanston", "department": "" }, { "first_name": "Paul", "middle_name": "R.", "last_name": "Cooper", "name_suffix": "", "institution": "The Institute for the Learning Sciences , Evanston", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1993-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31706/galley/22774/download/" } ] }