Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning ...

This is a new edition of a now classic text. The addition of two new sections, numerous new results and over 150 references mean that this represents an up-to-date account of ...

Monographic compilation of introductory lectures on decision making analysis under uncertainty - covers analysis of basic problems, uncertain payoffs and biased measurements ...

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment ...

This work covers topics such as: medical technologies and systems; fault tolerant systems; hardware-software-mechanical design; sensors and actuators; system level description ...

Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of ...