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  • 1
    ISBN: 0306425203
    Language: English
    Pages: XVI, 263 S. , graph. Darst.
    Uniform Title: Théorie des possibilités 〈engl.〉
    RVK:
    RVK:
    Keywords: Fuzzy sets Data processing ; Possibility Data processing ; Possibility Data processing ; Fuzzy sets Data processing ; Datenverarbeitung ; Fuzzy-Menge ; Fuzzy-Menge ; Datenverarbeitung ; Fuzzy-Logik ; Entscheidungstheorie
    Note: Literaturangaben
    URL: Cover
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Morgan Kaufmann | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (378 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.
    Note: Online resource; Title from title page (viewed May 12, 2014) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    Dordrecht : Springer
    ISBN: 9789401150545
    Language: English
    Pages: Online-Ressource (VIII, 453 p) , digital
    Edition: Springer eBook Collection. Humanities, Social Sciences and Law
    Series Statement: Handbook of Defeasible Reasoning and Uncertainty Management Systems 3
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Philosophy (General) ; Logic, Symbolic and mathematical ; Distribution (Probability theory) ; Logic ; Artificial intelligence ; Mathematical logic. ; Probabilities.
    Abstract: Belief change is an emerging field of artificial intelligence and information science dedicated to the dynamics of information and the present book provides a state-of-the-art picture of its formal foundations. It deals with the addition, deletion and combination of pieces of information and, more generally, with the revision, updating and fusion of knowledge bases. The book offers an extensive coverage of, and seeks to reconcile, two traditions in the kinematics of belief that often ignore each other - the symbolic and the numerical (often probabilistic) approaches. Moreover, the work encompasses both revision and fusion problems, even though these two are also commonly investigated by different communities. Finally, the book presents the numerical view of belief change, beyond the probabilistic framework, covering such approaches as possibility theory, belief functions and convex gambles. The work thus presents a unified view of belief change operators, drawing from a widely scattered literature embracing philosophical logic, artificial intelligence, uncertainty modelling and database systems. The material is a clearly organised guide to the literature on the dynamics of epistemic states, knowledge bases and uncertain information, suitable for scholars and graduate students familiar with applied logic, knowledge representation and uncertain reasoning
    URL: Volltext  (lizenzpflichtig)
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