ISBN: 9783790824933

How to draw plausible conclusions from uncertain and conflicting sources of evidence is one of the major intellectual challenges of Artificial Intelligence. It is a prerequisite of the sm… Mehr…

How to draw plausible conclusions from uncertain and conflicting sources of evidence is one of the major intellectual challenges of Artificial Intelligence. It is a prerequisite of the smart technology needed to help humans cope with the information explosion of the modern world. In addition, computational modelling of uncertain reasoning is a key to understanding human rationality. Previous. How to draw plausible conclusions from uncertain and conflicting sources of evidence is one of the major intellectual challenges of Artificial Intelligence. It is a prerequisite of the smart technology needed to help humans cope with the information explosion of the modern world. In addition, computational modelling of uncertain reasoning is a key to understanding human rationality. Previous computational accounts of uncertain reasoning have fallen into two camps: purely symbolic and numeric. This book represents a major advance by presenting a unifying framework which unites these opposing camps. The Incidence Calculus can be viewed as both a symbolic and a numeric mechanism. Numeric values are assigned indirectly to evidence via the possible worlds in which that evidence is true. This facilitates purely symbolic reasoning using the possible worlds and numeric reasoning via the probabilities of those possible worlds. Moreover, the indirect assignment solves some difficult technical problems, like the combinat ion of dependent sources of evidcence, which had defeated earlier mechanisms. Weiru Liu generalises the Incidence Calculus and then compares it to a succes sion of earlier computational mechanisms for uncertain reasoning: Dempster-Shafer Theory, Assumption-Based Truth Maintenance, Probabilis- tic Logic, Rough Sets, etc. She shows how each of them is represented and interpreted in Incidence Calculus. The consequence is a unified mechanism which includes both symbolic and numeric mechanisms as special cases. It provides a bridge between symbolic and numeric approaches, retaining the advantages of both and overcoming some of their disadvantages. Books, Science and Geography~~Mathematics~~Mathematical Foundations, Propositional, Probabilistic And Evidential Reasoning~~Book~~9783790824933~~Weiru Liu, , , , , , , , , ,<

2001, ISBN: 9783790824933

Integrating Numerical and Symbolic Approaches Studies in Fuzziness and Soft Computing. Softcover reprint of hardcover 1st ed. 2001. Integrating Numerical and Symbolic Approaches Studies i… Mehr…

Integrating Numerical and Symbolic Approaches Studies in Fuzziness and Soft Computing. Softcover reprint of hardcover 1st ed. 2001. Integrating Numerical and Symbolic Approaches Studies in Fuzziness and Soft Computing. Softcover reprint of hardcover 1st ed. 2001. Bücher > English, International > Gebundene Ausgaben<

ISBN: 9783790824933

Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches Propositional-Probabilistic-and-Evidential-Reasoning~~Weiru-Liu Technology Programming… Mehr…

Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches Propositional-Probabilistic-and-Evidential-Reasoning~~Weiru-Liu Technology Programming>Xxxsoftware Engr>* Desc Unknown Paperback, Physica-Verlag HD<

ISBN: 9783790824933

Propositional Probabilistic and Evidential Reasoning Integrating Numerical and Symbolic Approaches 1st Edition Author :Weiru Liu 9783790824933 3790824933