Logical Structures for Representation of Knowledge and Uncertainty

Author:   Ellen Hisdal
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1998 ed.
Volume:   14
ISBN:  

9783790810561


Pages:   420
Publication Date:   15 January 1998
Format:   Hardback
Availability:   In Print   Availability explained
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Logical Structures for Representation of Knowledge and Uncertainty


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Overview

To answer questions concerning previously supplied informat- ion the book uses a truth table or 'chain set' logic which combines probabilities with truth values (possibilities). Answers to questions can be 1 (yes); 0 (no); m (a fraction in the case of uncertain information); 0m, m1 or 0m1 (in the case of 'ignorance' or insufficient information). An IF THEN statement is interpreted as specifying a conditional probab- ility value. No predicate calculus is needed in this probab- ility logic which is built on top of a yes-no logic. Quanti- fication sentences are represented as IF THEN sentences with variables. Strange results of first order logic are more reasonable in the chain set logic. E.g. , (p->q)->(p->NOTq), (p->q) AND (p->NOTq), (p->q)-> NOT(p->q), p->NOT p, are contradictory statements only in the chain set logic.

Full Product Details

Author:   Ellen Hisdal
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   1998 ed.
Volume:   14
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.780kg
ISBN:  

9783790810561


ISBN 10:   3790810568
Pages:   420
Publication Date:   15 January 1998
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

BP Logic.- Chain Set and Probability Overview.- BP Chain Sets I, Affirmation, Negation, Conjunction, Disjunction.- BP Chain Sets II, Special Cases of Chain Sets.- BP Chain Sets III, Precise Formulations.- Inferences or the Answering of Questions.- Inferences with Higher Level Chain Sets.- IF THEN Information.- Various IF THEN Topics.- M Logic.- The M-Notation and Ignorance vs Uncertainty.- Two Types of Updating of Probabilities.- Operations and Ignorance in the M Logic.- Modus Ponens and Existence Updating.- IF THEN Information in the M Logic.- Existence Structures.- Existence Inferences.- Conditional and Joint Existence Information and Inferences.- Attributes and The Alex System versus Chain Sets.- Attributes and the Alex System versus Chain Sets.- Solutions to Some Exercises.

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