By Lorenzo Magnani
This quantity explores abductive cognition, a big yet, at the very least till the 3rd area of the final century, ignored subject in cognition. The ebook goals at expanding wisdom approximately artistic and professional inferences. The examine of those high-levelmethods of abductive reasoning is located on the crossroads of philosophy, common sense, epistemology, synthetic intelligence, neuroscience, cognitive psychology, animal cognition and evolutionary theories; that's, on the center of cognitive technological know-how. Philosophers of technology within the 20th century have routinely individual among the inferential procedures lively within the good judgment of discovery and those energetic within the common sense of justification. so much have concluded that no common sense of artistic techniques exists and, additionally, rational version of discovery is most unlikely. briefly, medical inventive inferences are irrational and there's no “reasoning” to hypotheses. nonetheless, a little research within the sector of synthetic intelligence has proven that equipment for discovery should be discovered which are computationally sufficient for rediscovering – or getting to know for the 1st time – empirical or theoretical legislation and theorems.
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This quantity explores abductive cognition, a major yet, no less than till the 3rd region of the final century, ignored subject in cognition. The publication goals at expanding wisdom approximately artistic and specialist inferences. The examine of those high-levelmethods of abductive reasoning is located on the crossroads of philosophy, common sense, epistemology, synthetic intelligence, neuroscience, cognitive psychology, animal cognition and evolutionary theories; that's, on the center of cognitive technology.
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Additional info for Abductive Cognition: The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning
More details on the differences between abductive and inductive/deductive inferences can be found in [Flach and Kakas, 2000b] and [Magnani, 2001b]; cf. 1. Non-deductive if we use the attribute “deductive” as designated by classical logic. 3 What Is Abduction? 22 The model is consistent with the Peircean view regarding the various stages of scientific inquiry in terms of “hypothesis” generation, deduction (prediction), and induction. As previously illustrated, I have introduced a distinction between “creative” and “selective” abduction.
7) can perform this kind of sentential abduction (selective). Of course other computational tools can be used to this aim, like neural and probabilistic networks, and frames-like representations. Another important way of modeling abduction in a sentential way resorts to the development of suitable logical systems, that in turn are computationally exploitable in the area of the so-called logic programming (cf. 1, below). , 1993; Konolige, 1992; Josephson and Josephson, 1994; Levesque, 1989; O’Rorke, 1994; Poole, 1988; Reiter, 1987; Reiter and de Kleer, 1991; Shanahan, 1989]).
Woods, 2007; Woods, 2010]. 5 below). 590] (see also [Hintikka, 1998]). 1 Abduction and Induction in Logic Programming The syllogistic account of abduction we described above is the starting point of much research in AI and logic programming devoted to perform tasks such as diagnosis in medical reasoning and planning. In these logical and computational accounts abduction and induction are considered as separate forms of reasoning related to different tasks. 2, abduction is especially – but not only viewed as hypothesis generation and induction as a logic of hypothesis evaluation).