Planning under uncertainty is a central problem in the study of automated sequential
decision making, and has been addressed by researchers in many different fields, including …

In this article we survey ambient intelligence (AmI), including its applications, some of the
technologies it uses, and its social and ethical implications. The applications include AmI at …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

In this paper, we bring techniques from operations research to bear on the problem of
choosing optimal actions in partially observable stochastic domains. We begin by …

Intelligent agents are employed as the central characters in this new introductory text.
Beginning with elementary reactive agents, Nilsson gradually increases their cognitive …

Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

In recent years research in the planning community has moved increasingly toward s
application of planners to realistic problems involving both time and many typ es of …

We describe and evaluate the algorithmic techniques that are used in the FF planning
system. Like the HSP system, FF relies on forward state space search, using a heuristic that …

A concise and lucid exposition of the major topics in knowledge representation, from two of
the leading authorities in the field.-Stuart Russell, UC Berkeley The information is valuable …

Specifying and implementing dynamical systems with the situation calculus. Modeling and
implementing dynamical systems is a central problem in artificial intelligence, robotics …