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  1. (1 other version)Dynamic Oppositional Symmetries for Color, Jungian and Kantian Categories.Julio Michael Stern - manuscript
    This paper investigates some classical oppositional categories, like synthetic vs. analytic, posterior vs. prior, imagination vs. grammar, metaphor vs. hermeneutics, metaphysics vs. observation, innovation vs. routine, and image vs. sound, and the role they play in epistemology and philosophy of science. The epistemological framework of objective cognitive constructivism is of special interest in these investigations. Oppositional relations are formally represented using algebraic lattice structures like the cube and the hexagon of opposition, with applications in the contexts of modern color theory, (...)
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  • Argumentation schemes in AI and Law.Katie Atkinson & Trevor Bench-Capon - 2021 - Argument and Computation 12 (3):417-434.
    In this paper we describe the impact that Walton’s conception of argumentation schemes had on AI and Law research. We will discuss developments in argumentation in AI and Law before Walton’s schemes became known in that community, and the issues that were current in that work. We will then show how Walton’s schemes provided a means of addressing all of those issues, and so supplied a unifying perspective from which to view argumentation in AI and Law.
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  • Qualitative physics using dimensional analysis.R. Bhaskar & Anil Nigam - 1990 - Artificial Intelligence 45 (1-2):73-111.
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  • Nonmonotonic Reasoning and Causation.Yoav Shoham - 1990 - Cognitive Science 14 (2):213-252.
    It is suggested that taking into account considerations that traditionally fall within the scope of computer science in general, and artificial intelligence in particular, sheds new light on the subject of causation. It is argued that adopting causal notions con be viewed as filling a computational need: They allow reasoning with incomplete information, facilitate economical representations, and afford relatively efficient methods for reasoning about those representations. Specifically, it is proposed that causal reasoning is intimately bound to nonmonotonic reasoning. An account (...)
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  • Heuristic classification.William J. Clancey - 1985 - Artificial Intelligence 27 (3):289-350.
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