Abductive Cognition
Details
This volume explores abductive cognition, an important but, at least until the third quarter of the last century, neglected topic in cognition. The book aims at increasing knowledge about creative and expert inferences. The study of these high-levelmethods of abductive reasoning is situated at the crossroads of philosophy, logic, epistemology, artificial intelligence, neuroscience, cognitive psychology, animal cognition and evolutionary theories; that is, at the heart of cognitive science. Philosophers of science in the twentieth century have traditionally distinguished between the inferential processes active in the logic of discovery and the ones active in the logic of justification. Most have concluded that no logic of creative processes exists and, moreover, that a rational model of discovery is impossible. In short, scientific creative inferences are irrational and there is no "reasoning" to hypotheses. On the other hand, some research in the area of artificial intelligence has shown that methods for discovery could be found that are computationally adequate for rediscovering - or discovering for the first time - empirical or theoretical laws and theorems.
Presents recent research in abductive cognition Introduction to The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning
Inhalt
Theoretical and Manipulative Abduction.- Non-explanatory and Instrumental Abduction.- Semiotic Brains and Artificial Minds.- Neuro-multimodal Abduction.- Animal Abduction.- Abduction, Affordances, and Cognitive Niches.- Abduction in Human and Logical Agents.- Morphodynamical Abduction.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783642260827
- Sprache Englisch
- Auflage 2010
- Größe H235mm x B155mm x T30mm
- Jahr 2012
- EAN 9783642260827
- Format Kartonierter Einband
- ISBN 3642260829
- Veröffentlichung 14.03.2012
- Titel Abductive Cognition
- Autor Lorenzo Magnani
- Untertitel The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning
- Gewicht 838g
- Herausgeber Springer Berlin Heidelberg
- Anzahl Seiten 560
- Lesemotiv Verstehen
- Genre Informatik