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  1. Developing structured representations.Leonidas A. A. Doumas & Lindsey E. Richland - 2008 - Behavioral and Brain Sciences 31 (4):384-385.
    Leech et al.'s model proposes representing relations as primed transformations rather than as structured representations (explicit representations of relations and their roles dynamically bound to fillers). However, this renders the model unable to explain several developmental trends (including relational integration and all changes not attributable to growth in relational knowledge). We suggest looking to an alternative computational model that learns structured representations from examples.
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  • Prefacr.Lorenzo Magnani, Nancy J. Nersessian & Paul Thagard - 2000 - Foundations of Science 5 (2):121-127.
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  • Preface.Lorenzo Magnani & Nancy J. Nersessian - 2005 - Foundations of Science 10 (1):1-4.
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  • A computational model of ratio decidendi.L. Karl Branting - 1993 - Artificial Intelligence and Law 2 (1):1-31.
    This paper proposes a model ofratio decidendi as a justification structure consisting of a series of reasoning steps, some of which relate abstract predicates to other abstract predicates and some of which relate abstract predicates to specific facts. This model satisfies an important set of characteristics ofratio decidendi identified from the jurisprudential literature. In particular, the model shows how the theory under which a case is decided controls its precedential effect. By contrast, a purely exemplar-based model ofratio decidendi fails to (...)
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