This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially...
'Statistical natural-language processing is, in my estimation, one of the most fast-moving and exciting areas of computer science...
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty....
The classical logic of Frege and Russell has dominated formal logic in the 20th century. But a new type of weak relevant logic...
New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies...
The move to 3D graphics represents a dramatic artistic and technical development in the history of video games that suggests an...
The goal of participatory IT design is to set sensible, general, and workable guidelines for the introduction of new information...
This book guides students through an exploration of the idea that thinking might be understood as a form of computation. Students...
As urban planning moves from a centralized, top-down approach to a decentralized, bottom-up perspective, our conception of urban...
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational...
The development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and...
Many important problems involve decision making under uncertainty - that is, choosing actions based on often imperfect observations,...
Logic-based formalizations of argumentation, which assume a set of formulae and then lay out arguments and counterarguments that...
Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs...
The notion of function is an integral part of thinking in both biology and technology; biological organisms and technical artifacts...
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