Cause-and-effect relationships play a central role in how we perceive and make sense of
the world around us, how we act upon it, and ultimately, how we under stand ourselves …

Development of context-aware applications is inherently complex. These applications adapt
to changing context information: physical context, computational context, and user …

Formal ways of representing uncertainty and various logics for reasoning about it; updated
with new material on weighted probability measures, complexity-theoretic considerations …

We consider two approaches to giving semantics to first-order logics of probability. The first
approach puts a probability on the domain, and is appropriate for giving semantics to …

Categories and Subject Descrlptor~: B 4.4 [Input/ Output and Data Communications]:
Performance Analysis and Design Aids—@ wml models;~ enjcation; C, 2.4 [Computer …

Reasoning under uncertainty, that is, making judgments with only partial knowledge, is a
major theme in artificial intelligence. Professor Paris provides here an introduction to the …

Ontologies play a crucial role in the development of the Semantic Web as a means for
defining shared terms in web resources. They are formulated in web ontology languages …

Markov Logic Networks (MLNs) have emerged as a powerful framework that combines
statistical and logical reasoning; they have been applied to many data intensive problems …

Darüber hinaus wurden alle Themenbereiche des Buches überarbeitet und aktualisiert. Für
alle Selbsttestaufgaben, deren Anzahl wir nochmals erhöht haben, stehen ausführliche …

Graphical representations for probabilistic relationships have recently received considerable
attention in AI. Qualitative probabilistic networks abstract from the usual numeric …