Download e-book for iPad: Abductive Reasoning and Learning by Peter A. Flach, Antonis C. Kakas (auth.), Dov M. Gabbay,

By Peter A. Flach, Antonis C. Kakas (auth.), Dov M. Gabbay, Rudolf Kruse (eds.)

ISBN-10: 9048155606

ISBN-13: 9789048155606

ISBN-10: 9401717338

ISBN-13: 9789401717335

This ebook includes top survey papers at the a number of facets of Abduction, either logical and numerical ways. Abduction is imperative to all parts of utilized reasoning, together with man made intelligence, philosophy of technology, laptop studying, facts mining and determination concept, in addition to common sense itself.

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Sample text

E( = {Jrog(x), songbird(x) , bird(x), ufo(x), no_bird(x), penguin( x), ostrich( x) } n e( {Jrog(x)} e( {songbird(x)} e( {ufo(x), bird(x)} {flies(x), croaks(x), -,flies(x), eats_insects(x)}, {eats_insects(x), -,flies(x), croaks(x)} , {eats_insects(x), flies(x)}, {Jlies(x)} , e( {penguin(x)} { -,flies(x)} , e( {ostrich(x)} e( {no_bird(x)} { -,flies(x)} , { -,flies(x)}.

To give a more extensive description of abductive reasoning we will divide the reasoning process into three parts that are examined independently. First, we will give a formal description of the abductive task that determines the underlying model. We discuss the setcover-based approach, the logic-based and knowledge-level approaches as well as semantic accounts for abduction. Methods for hypothesis generation are presented in section 3. In particular, we treat generation by resolution and generation by an Assumption-based Truth Maintenance System.

FLACH AND ANTONIS C. KAKAS on a deeper level of integration of the two forms of reasoning, where induction is perceived as hypothesising abductive (rather than deductive) theories. The deductive coverage relation for learning is replaced by abductive coverage, such that an inductive hypothesis H is a valid generalisation if the observations can be abductively explained by T' = T U H, rather than deductively entailed. A simple example of this is the extension of Explanation-Based Learning with abduction [Cohen, 1992; O'Rorke, 1994], such that deductive explanations are allowed to be completed by abductive assumptions before they are generalised.

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Abductive Reasoning and Learning by Peter A. Flach, Antonis C. Kakas (auth.), Dov M. Gabbay, Rudolf Kruse (eds.)

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