Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Abductive Inference

Abductive Inference

Abductive Inference

Computation, Philosophy, Technology
John R. Josephson, Ohio State University
Susan G. Josephson, Ohio State University
November 1996
Paperback
9780521575454

    This book is about abduction, 'the logic of Sherlock Holmes', and about how some kinds of abductive reasoning can be programmed in a computer. The work brings together Artificial Intelligence and philosophy of science and is rich with implications for other areas such as, psychology, medical informatics, and linguistics. It also has subtle implications for evidence evaluation in areas such as accident investigation, confirmation of scientific theories, law, diagnosis, and financial auditing. The book is about certainty and the logico-computational foundations of knowledge; it is about inference in perception, reasoning strategies, and building expert systems.

    • Analyses abduction as an information-processing phenomenon
    • The work brings together artificial intelligence and philosophy of science and is rich with implications for other areas

    Reviews & endorsements

    'This book is rich in detail and worthy of study either by those interested in the computational problems of abduction or by those interested in the transformation of philosophical questions about knowledge into 'technical questions about the performance of information-processing systems'. David Green, The Quarterly Journal of Experimental Psychology

    'The book provides a good general introduction to the effort of building abductive systems …'. Hilan Bensusan, AISB Quarterly

    See more reviews

    Product details

    November 1996
    Paperback
    9780521575454
    320 pages
    227 × 152 × 16 mm
    0.434kg
    59 b/w illus.
    Available

    Table of Contents

    • Introduction
    • 1. Conceptual analysis of abduction: what is abduction?
    • 2. Knowledge-based systems and the science of AI:
    • 3. Two RED systems
    • 4. Generalizing the control strategy
    • 5. More kinds of knowledge: TIPS and PATHEX/LIVER TIPS
    • 6. Better task analysis, better strategy
    • 7. Computational complexity of abduction
    • 8. Diagnostic systems MDX2 and QUADS
    • 9. Practical abduction
    • 10. Perception and language understanding
    • Appendices.
      Contributors
    • Dean Allemang, Tom Bylander, B. Chandrasekaran, Donna Erickson, Charles Evans, Olivier Fischer, Richard Fox, Osamu Fujimura, Ashok K. Goel, Todd Johnson, John R. Josephson, Susan G. Josephson, Kevin Lenzo, Terry Patten, William F. Punch III, P. Sadayappan, Sheldon R. Simon, Jack W. Smith, John Sticklen, Patricia L. Strohm, John Svirbely, Michael C. Tanner, Susan T. Korda, Michael Weintraub