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Representing Uncertain Knowledge [[electronic resource] ] : An Artificial Intelligence Approach / / by Paul Krause, Dominic Clark
Representing Uncertain Knowledge [[electronic resource] ] : An Artificial Intelligence Approach / / by Paul Krause, Dominic Clark
Autore Krause Paul
Edizione [1st ed. 1993.]
Pubbl/distr/stampa Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1993
Descrizione fisica 1 online resource (IX, 277 p.)
Disciplina 006.3
Soggetto topico Artificial intelligence
Programming languages (Electronic computers)
Artificial Intelligence
Programming Languages, Compilers, Interpreters
ISBN 94-011-2084-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 The Nature of Uncertainty -- 1.1 Introduction -- 1.2 Representation and management of uncertainty -- 1.3 The structure of this book -- 2 Bayesian Probability -- 2.1 Introduction -- 2.2 Foundations -- 2.3 Resolution by independence -- 2.4 Belief propagation through local computation -- 2.5 MUNIN - An application of probabilistic reasoning in electromyography -- 2.6 Learning from the children of Great Ormond Street -- 2.7 Discussion -- 2.8 Conclusions -- 3 The Certainty Factor Model -- 3.1 Introduction -- 3.2 Operation -- 3.3 Simple worked example -- 3.4 Discussion -- 3.5 Conclusions -- 4 Epistemic Probability: the Dempster-Shafer theory of evidence -- 4.1 Introduction -- 4.2 A short history of epistemic probability -- 4.3 The Dempster-Shafer theory of evidence -- 4.4 How to act on a belief -- 4.5 Evidential reasoning applied to robot navigation -- 4.6 Discussion -- 4.7 Conclusions -- 5 Reasoning with Imprecise and Vague Data -- 5.1 Introduction -- 5.2 Crisp sets and imprecision -- 5.3 Vague and approximate concepts -- 5.4 Possibilistic logic -- 5.5 Discussion -- 5.6 Conclusions -- 6 Non-monotonic Logic -- 6.1 Introduction -- 6.2 A brief overview of formal logic -- 6.3 Non-monotonic logics -- 6.4 Discussion -- 6.5 Conclusion -- 7 Argumentation -- 7.1 Introduction -- 7.2 Heuristic models of argumentation -- 7.3 Logical models of argumentation -- 7.4 Discussion -- 7.5 Conclusions -- 8 Overview -- 8.1 Introduction -- 8.2 Resumé -- 8.3 Verbal uncertainty expressions -- 8.4 Uncertainty and decision making -- 8.5 Meta-level reasoning and control -- 8.6 Future trends: the convergence of symbolic and quantitative methods? -- References -- Author Index.
Record Nr. UNINA-9910480913803321
Krause Paul  
Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Representing Uncertain Knowledge [[electronic resource] ] : An Artificial Intelligence Approach / / by Paul Krause, Dominic Clark
Representing Uncertain Knowledge [[electronic resource] ] : An Artificial Intelligence Approach / / by Paul Krause, Dominic Clark
Autore Krause Paul
Edizione [1st ed. 1993.]
Pubbl/distr/stampa Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1993
Descrizione fisica 1 online resource (IX, 277 p.)
Disciplina 006.3
Soggetto topico Artificial intelligence
Programming languages (Electronic computers)
Artificial Intelligence
Programming Languages, Compilers, Interpreters
ISBN 94-011-2084-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 The Nature of Uncertainty -- 1.1 Introduction -- 1.2 Representation and management of uncertainty -- 1.3 The structure of this book -- 2 Bayesian Probability -- 2.1 Introduction -- 2.2 Foundations -- 2.3 Resolution by independence -- 2.4 Belief propagation through local computation -- 2.5 MUNIN - An application of probabilistic reasoning in electromyography -- 2.6 Learning from the children of Great Ormond Street -- 2.7 Discussion -- 2.8 Conclusions -- 3 The Certainty Factor Model -- 3.1 Introduction -- 3.2 Operation -- 3.3 Simple worked example -- 3.4 Discussion -- 3.5 Conclusions -- 4 Epistemic Probability: the Dempster-Shafer theory of evidence -- 4.1 Introduction -- 4.2 A short history of epistemic probability -- 4.3 The Dempster-Shafer theory of evidence -- 4.4 How to act on a belief -- 4.5 Evidential reasoning applied to robot navigation -- 4.6 Discussion -- 4.7 Conclusions -- 5 Reasoning with Imprecise and Vague Data -- 5.1 Introduction -- 5.2 Crisp sets and imprecision -- 5.3 Vague and approximate concepts -- 5.4 Possibilistic logic -- 5.5 Discussion -- 5.6 Conclusions -- 6 Non-monotonic Logic -- 6.1 Introduction -- 6.2 A brief overview of formal logic -- 6.3 Non-monotonic logics -- 6.4 Discussion -- 6.5 Conclusion -- 7 Argumentation -- 7.1 Introduction -- 7.2 Heuristic models of argumentation -- 7.3 Logical models of argumentation -- 7.4 Discussion -- 7.5 Conclusions -- 8 Overview -- 8.1 Introduction -- 8.2 Resumé -- 8.3 Verbal uncertainty expressions -- 8.4 Uncertainty and decision making -- 8.5 Meta-level reasoning and control -- 8.6 Future trends: the convergence of symbolic and quantitative methods? -- References -- Author Index.
Record Nr. UNINA-9910789497903321
Krause Paul  
Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Representing Uncertain Knowledge : An Artificial Intelligence Approach / / by Paul Krause, Dominic Clark
Representing Uncertain Knowledge : An Artificial Intelligence Approach / / by Paul Krause, Dominic Clark
Autore Krause Paul
Edizione [1st ed. 1993.]
Pubbl/distr/stampa Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1993
Descrizione fisica 1 online resource (IX, 277 p.)
Disciplina 006.3
Soggetto topico Artificial intelligence
Compilers (Computer programs)
Artificial Intelligence
Compilers and Interpreters
ISBN 94-011-2084-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 The Nature of Uncertainty -- 1.1 Introduction -- 1.2 Representation and management of uncertainty -- 1.3 The structure of this book -- 2 Bayesian Probability -- 2.1 Introduction -- 2.2 Foundations -- 2.3 Resolution by independence -- 2.4 Belief propagation through local computation -- 2.5 MUNIN - An application of probabilistic reasoning in electromyography -- 2.6 Learning from the children of Great Ormond Street -- 2.7 Discussion -- 2.8 Conclusions -- 3 The Certainty Factor Model -- 3.1 Introduction -- 3.2 Operation -- 3.3 Simple worked example -- 3.4 Discussion -- 3.5 Conclusions -- 4 Epistemic Probability: the Dempster-Shafer theory of evidence -- 4.1 Introduction -- 4.2 A short history of epistemic probability -- 4.3 The Dempster-Shafer theory of evidence -- 4.4 How to act on a belief -- 4.5 Evidential reasoning applied to robot navigation -- 4.6 Discussion -- 4.7 Conclusions -- 5 Reasoning with Imprecise and Vague Data -- 5.1 Introduction -- 5.2 Crisp sets and imprecision -- 5.3 Vague and approximate concepts -- 5.4 Possibilistic logic -- 5.5 Discussion -- 5.6 Conclusions -- 6 Non-monotonic Logic -- 6.1 Introduction -- 6.2 A brief overview of formal logic -- 6.3 Non-monotonic logics -- 6.4 Discussion -- 6.5 Conclusion -- 7 Argumentation -- 7.1 Introduction -- 7.2 Heuristic models of argumentation -- 7.3 Logical models of argumentation -- 7.4 Discussion -- 7.5 Conclusions -- 8 Overview -- 8.1 Introduction -- 8.2 Resumé -- 8.3 Verbal uncertainty expressions -- 8.4 Uncertainty and decision making -- 8.5 Meta-level reasoning and control -- 8.6 Future trends: the convergence of symbolic and quantitative methods? -- References -- Author Index.
Record Nr. UNINA-9910968357203321
Krause Paul  
Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui