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  1. Connectionist inference models.Ron Sun - manuscript
    The performance of symbolic inference tasks has long been a challenge to connectionists. In this paper, we present an extended survey of this area. Existing connectionist inference systems are reviewed, with particular reference to how they perform variable binding and rule- based reasoning and whether they involve distributed or localist representations. The bene®ts and disadvantages of different representations and systems are outlined, and conclusions drawn regarding the capabilities of connectionist inference systems when compared with symbolic inference systems or when used (...)
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  • Towards structural systematicity in distributed, statically bound visual representations.Shimon Edelman & Nathan Intrator - 2003 - Cognitive Science 23 (1):73-110.
    The problem of representing the spatial structure of images, which arises in visual object processing, is commonly described using terminology borrowed from propositional theories of cognition, notably, the concept of compositionality. The classical propositional stance mandates representations composed of symbols, which stand for atomic or composite entities and enter into arbitrarily nested relationships. We argue that the main desiderata of a representational system — productivity and systematicity — can (indeed, for a number of reasons, should) be achieved without recourse to (...)
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  • Why Are There Failures of Systematicity? The Empirical Costs and Benefits of Inducing Universal Constructions.Steven Phillips, Yuji Takeda & Fumie Sugimoto - 2016 - Frontiers in Psychology 7.
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  • Distributed representations.Tony Plate - 2002 - In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan.
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  • [email protected].Antony Browne & Ron Sun - unknown
    Variable binding has long been a challenge to connectionists. Attempts to perform variable binding using localist and distributed connectionist representations are discussed, and problems inherent in each type of representation are outlined.
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