While much has been written about the areas of text generation, text planning, discourse modeling, and user modeling, Johanna Moore's book is one of the first to tackle modeling the complex dynamics of explanatory dialogues. It describes an explanation-planning architecture that enables a computational system to participate in an interactive dialogue with its users, focusing on the knowledge st…
Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally important in the fields of cognitive science, neuroscience, artificial intelligence, and neural networks in general. Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally imp…
Silicon Valley, a small place with few identifiable geologic or geographic features, has achieved a mythical reputation in a very short time. The modern material culture of the Valley may be driven by technology, but it also encompasses architecture, transportation, food, clothing, entertainment, intercultural exchanges, and rituals.Combining a reporter's instinct for a good interview with trad…
In Artificial Experts, Collins explains what computers can't do, but he also studies the ordinary and extraordinary things that they can do. He argues that the machines we create are limited because we cannot reproduce in symbols what every community knows, yet we give our machines abilities by the way we embed them in our society. He unfolds a compelling account of the difference between human…
The recognition of faces is a fundamental visual function with importance for social interaction and communication. This volume offers a state-of-the-art, interdisciplinary overview of recent work on dynamic faces from both biological and computational perspectives.OCLC-licensed vendor bibliographic record.
Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of…
Beowulf clusters, which exploit mass-market PC hardware and software in conjunction with cost-effective commercial network technology, are becoming the platform for many scientific, engineering, and commercial applications. With growing popularity has come growing complexity. Addressing that complexity, Beowulf Cluster Computing with Linux and Beowulf Cluster Computing with Windows provide syst…
"Today's computers must perform with increasing reliability, which in turn depends on the problem of determining whether a circuit has been manufactured properly or behaves correctly. However, the greater circuit density of VLSI circuits and systems has made testing more difficult and costly. This book notes that one solution is to develop faster and more efficient algorithms to generate test p…
"Logo for the Macintosh teaches the art of programming to first time programmers. It begins with Turtle Geometry, a series of exercises involving both Logo programming and geometric concepts. Later chapters illustrate more advanced topics, such as the famous DOCTOR program with its simulated psychotherapist and an INSTANT program that enables parents and teachers to create a programming environ…
Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers.MIMD computers are notoriously difficult to program. Data-Parallel Programming demonstrates…