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  1. Women, Fire and Dangerous Thing: What Catergories Reveal About the Mind.George Lakoff (ed.) - 1987 - University of Chicago Press.
    "Its publication should be a major event for cognitive linguistics and should pose a major challenge for cognitive science. In addition, it should have repercussions in a variety of disciplines, ranging from anthropology and psychology to epistemology and the philosophy of science.... Lakoff asks: What do categories of language and thought reveal about the human mind? Offering both general theory and minute details, Lakoff shows that categories reveal a great deal."—David E. Leary, American Scientist.
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  • The New Rhetoric: A Treatise on Argumentation.Chaïm Perelman & Lucie Olbrechts-Tyteca - 1969 - Notre Dame, IN, USA: Notre Dame University Press. Edited by Lucie Olbrechts-Tyteca.
    The New Rhetoric is founded on the idea that since “argumentation aims at securing the adherence of those to whom it is addressed, it is, in its entirety, relative to the audience to be influenced,” says Chaïm Perelman and L. Olbrechts-Tyteca, and they rely, in particular, for their theory of argumentation on the twin concepts of universal and particular audiences: while every argument is directed to a specific individual or group, the orator decides what information and what approaches will achieve (...)
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  • Women, Fire, and Dangerous Things: What Categories Reveal about the Mind.George Lakoff - 1987 - Philosophy and Rhetoric 22 (4):299-302.
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  • (1 other version)The Uses of Argument.Stephen E. Toulmin - 1958 - Philosophy 34 (130):244-245.
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  • The New Rhetoric: A Treatise on Argumentation.Ch Perelman, L. Olbrechts-Tyteca, John Wilkinson & Purcell Weaver - 1969 - Philosophy and Rhetoric 3 (4):249-254.
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  • Logical Tools for Modelling Legal Argument: A Study of Defeasible Reasoning in Law.Henry Prakken - 1993 - Dordrecht, Netherland: Springer.
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  • Learning and executing generalized robot plans.Richard E. Fikes, Peter E. Hart & Nils J. Nilsson - 1972 - Artificial Intelligence 3 (C):251-288.
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  • Family resemblances: Studies in the internal structure of categories.Eleanor Rosch & Carolyn Mervis - 1975 - Cognitive Psychology 7 (4):573--605.
    Six experiments explored the hypothesis that the members of categories which are considered most prototypical are those with most attributes in common with other members of the category and least attributes in common with other categories. In probabilistic terms, the hypothesis is that prototypicality is a function of the total cue validity of the attributes of items. In Experiments 1 and 3, subjects listed attributes for members of semantic categories which had been previously rated for degree of prototypicality. High positive (...)
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  • Plot Units and Narrative Summarization.Wendy G. Lehnert - 1981 - Cognitive Science 5 (4):293-331.
    In order to summarize a story, it is necessary to access a high level analysis of the story that highlights its central concepts. A technique of memory representation based on plot units appears to provide a rich foundation for such an analysis. Plot units are conceptual structures that overlap with each other when a narrative is cohesive. When overlapping intersections between plot units are interpreted as arcs in a graph of plot units, the resulting graph encodes the plot of the (...)
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  • Maintaining Organization in a Dynamic Long‐Term Memory.Janet L. Kolodner - 1983 - Cognitive Science 7 (4):243-280.
    As new unanticipated items are added to a memory, it must be able to reorganize itself, integrating the new items into its structure. The reorganization process must maintain the memory's structure and also build up the knowledge retrieval strategies need to search that structure. This study will present an algorithm for knowledge‐based memory reorganization. Included in that algorithm are processes for directed generalization and generalization refinement. A fact retrieval system called CYRUS which uses the algorithm is also presented. Conclusions are (...)
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  • How to Do Things with Rules.William Twining & David Miers - 2010 - Cambridge University Press.
    New to English law? Need to know how rules are made, interpreted and applied? This popular and well-established textbook will show you how. It simplifies legal method by combining examples with an account of rules in general: the who, what, why and how of interpretation. Starting with standpoint and context, it identifies factors that give rise to doubts about the interpretation of a rule and recommends a systematic approach to analysing those factors. Questions and exercises integrated in the text and (...)
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  • Understanding Understanding Mathematics.Edwina Rissland Michener - 1978 - Cognitive Science 2 (4):361-383.
    In this paper we look at some of the ingredients and processes involved in the understanding of mathematics. We analyze elements of mathematical knowledge, organize them in a coherent way and take note of certain classes of items that share noteworthy roles in understanding. We thus build a conceptual framework in which to talk about mathematical knowledge. We then use this representation to describe the acquisition of understanding. We also report on classroom experience with these ideas.
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  • Concept learning and heuristic classification in weak-theory domains.Bruce W. Porter, Ray Bareiss & Robert C. Holte - 1990 - Artificial Intelligence 45 (1-2):229-263.
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  • Tell Me a Story: A New Look at Real and Artificial Memory.David Herman & Roger C. Schank - 1996 - Substance 25 (1):140.
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  • An Introduction to Legal Reasoning. [REVIEW]E. N. G. - 1951 - Journal of Philosophy 48 (5):167-168.
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  • Arguments and cases: An inevitable intertwining. [REVIEW]David B. Skalak & Edwina L. Rissland - 1992 - Artificial Intelligence and Law 1 (1):3-44.
    We discuss several aspects of legal arguments, primarily arguments about the meaning of statutes. First, we discuss how the requirements of argument guide the specification and selection of supporting cases and how an existing case base influences argument formation. Second, we present,our evolving taxonomy of patterns of actual legal argument. This taxonomy builds upon our much earlier work on argument moves and also on our more recent analysis of how cases are used to support arguments for the interpretation of legal (...)
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  • Evaluating a legal argument program: The BankXX experiments. [REVIEW]Edwina L. Rissland, David B. Skalak & M. Timur Friedman - 1997 - Artificial Intelligence and Law 5 (1-2):1-74.
    In this article we evaluate the BankXX program from several perspectives. BankXX is a case-based legal argument program that retrieves cases and other legal knowledge pertinent to a legal argument through a combination of heuristic search and knowledge-based indexing. The program is described in detail in a companion article in Artificial Intelligence and Law 4: 1--71, 1996. Three perspectives are used to evaluate BankXX:(1) classical information retrieval measures of precision and recall applied against a hand-coded baseline; (2) knowledge-representation and case-based (...)
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