A Practical Logic of Cognitive Systems book cover

A Practical Logic of Cognitive Systems

The Reach of Abduction: Insight and Trial

The present work is a continuation of the authors' acclaimed multi-volume APractical Logic of Cognitive Systems. After having investigated the notion ofrelevance in their previous volume, Gabbay and Woods now turn to abduction. Inthis highly original approach, abduction is construed as ignorance-preservinginference, in which conjecture plays a pivotal role. Abduction is a response to acognitive target that cannot be hit on the basis of what the agent currently knows.The abducer selects a hypothesis which were it true would enable the reasoner to attain his target. He concludes from this fact that the hypothesis may be conjectured. In allowing conjecture to stand in for the knowledge he fails to have, the abducer reveals himself to be a satisficer, since an abductive solution is not a solution from knowledge. Key to the authors' analysis is the requirement that a conjectured proposition is not just what a reasoner might allow himself to assume, but a proposition he must defeasibly release as a premiss for further inferences in the domain of enquiry in which the original abduction problem has arisen.

The coverage of the book is extensive, from the philosophy of science tocomputer science and AI, from diagnostics to the law, from historical explanation to linguistic interpretation. One of the volume's strongest contributions is its exploration of the abductive character of criminal trials, with special attention given to the standard of proof beyond a reasonable doubt.

Underlying their analysis of abductive reasoning is the authors' conception ofpractical agency. In this approach, practical agency is dominantly a matter of thecomparative modesty of an agent's cognitive agendas, together with comparatively scant resources available for their advancement. Seen in these ways, abduction has a significantly practical character, precisely because it is a form of inference that satisfices rather than maximizes its response to the agent's cognitive target.

The Reach of Abduction will be necessary reading for researchers, graduatestudents and senior undergraduates in logic, computer science, AI, belief dynamics, argumentation theory, cognitive psychology and neuroscience, linguistics, forensic science, legal reasoning and related areas.

Key features:

- Reach of Abduction is fully integrated with a background logic of cognitive systems.
- The most extensive coverage compared to competitive works.
- Demonstrates not only that abduction is a form of ignorance preservinginference but that it is a mode of inference that is wholly rational.
- Demonstrates the satisficing rather than maximizing character ofabduction.
- The development of formal models of abduction is considerably more extensive than one finds in existing literature. It is an especially impressive amalgam of sophisticatedconceptual analysis and extensive logical modelling.

Audience
For researchers, graduate students and senior undergraduates in logic, computer science, AI, belief dynamics, argumentation theory, cognitive psychology and neuroscience, linguistics, forensic science, legal reasoning and related areas.

Hardbound, 496 Pages

Published: May 2005

Imprint: Elsevier

ISBN: 978-0-444-51791-3

Reviews

  • "This book starts with a philosophical analysis of abduction, overviews the previously proposed approaches, and explains the state-of-the-art and algorithms for formalizing abduction." -Olga M. Kosheleva, in MATHEMATICAL REVIEWS

Contents

  • Acknowledgements.Preface. A Practical Logic of Cognitive Systems 1. Introduction 2. Practical Logic Conceptual Models of Abduction 3. The Structure of Abduction 4. Explanationist Abduction 5. Non-Plausibilistic Abduction 6. Diagnostic Abduction in AI 7. The Characteristic and the Plausible 8. Relevance and Analogy 9. Interpretation Abduction Formal Models of Abduction 10. A Glimpse of Formality 11. A General Theory of Logical Systems 12. A Base Logic 13. An Abductive Mechanism for the Base LogicBibliography.Index .

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