Titlebook: Scalable Uncertainty Management; Third International Lluís Godo,Andrea Pugliese Conference proceedings 2009 Springer-Verlag Berlin Heidelb

uveitis

Uncertainty in the Semantic Web,wards the Semantic Web is played by formalisms and technologies for handling uncertainty and/or vagueness. In this paper, I give an overview of some own recent formalisms for handling uncertainty and/or vagueness in the Semantic Web.

出汗

Interventions in Possibilistic Logic, intervention-like pieces of knowledge, in the setting of possibilistic logic. It is compatible with a modeling of the way agents perceive causal relations in reported sequences of events, on the basis of their own beliefs about how the world normally evolves. These beliefs can also be represented in a possibilistic logic framework.

Essential

Making Sense of a Sequence of Events: A Psychologically Supported AI Implementation,be different types of relations between events. A prototypical example is the ascription of causality between events. The paper proposes a systematic study of consonance and dissonance between beliefs and reports. The approach is shown to be consistent with findings in psychology. An implementation is presented with some illustrative examples.

使混合

雪白

0302-9743 e also contains extended abstracts of two invited talks. The volume reflects the growing interest in uncertainty and incosistency and aims at bringing together all those interested in the management of uncertainty and inconsistency at large.978-3-642-04387-1978-3-642-04388-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Matthew Horridge,Bijan Parsia,Ulrike Sattlerährden. Da die Sicherheitsmassnahmen einen beträchtlichen Teil des IT­ Budgets ausmachen, müssen die IT-Verantwortlichen vermehrt den Nutzen solcher Sicherheits-Aufwendungen rechtfertigen. Für unnötigen Überschutz ist in der Regel kein Budge978-3-322-99320-5Series ISSN 2522-0551 Series E-ISSN 2522-056X

FOLLY

Strength

一大群

Bridging the Gap between Abstract Argumentation Systems and Logic,ence operator of the logic. Second, we show that the choice of an attack relation is crucial for ensuring consistent results, and should not be arbitrary. In particular, we argue that an attack relation should be at least grounded on the . contained in the knowledge base. Moreover, due to the binary

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Modeling Unreliable Observations in Bayesian Networks by Credal Networks, of the original Bayesian network is done by ., i.e., convex sets of probability mass functions. Without any lack of generality, we show how this can be done by simply estimating the bounds of likelihoods of the observations for the different values of the observed variables. Overall, the Bayesian n