Книги - теория ит

Growing Artificial Societies is a groundbreaking book that posits a new mechanism for studying populations and their evolution. By combining the disciplines of cellular automata and "artificial life", Joshua M. Epstein and Robert Axtell have developed a mechanism for simulating all sorts...

Lynette Hunter elegantly weaves together such vast areas of thought as

rhetoric, politics, AI, computing, feminism, science studies, aesthetics and epistemology in this new work that explores what happens to science and computing when we think of them as texts.

Intended for designers and researchers, Context and Consciousness brings together 13 contributions that apply activity theory to problems of human-computer interaction. Understanding how people actually use computers in their everyday lives is essential to good design and evaluation. This insight...

Provides comprehensive treatment of the theory of both static and dynamic neural networks.
* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises.

Over time the field of artificial intelligence has developed an "agent perspective" expanding its focus from thought to action, from search spaces to physical environments, and from problem-solving to long-term activity. Originally published as a specialdouble volume of the journal...

Computer-Aided Reasoning: An Approach is a textbook introduction to computer-aided reasoning. It can be used in graduate and upper-division undergraduate courses on software engineering or formal methods. It is also suitable in conjunction with other books in courses on hardware design, discrete...

Presents the main practical results reported so far and the main theoretical developments in DNA computing coverage. The authors discuss Adleman"s famous experiment, with subsequent varients as well as many theoretical models: sticker systems and Watson-Crick automata, insertion-deletion...

This book is the first in the field to provide extensive, entry level tutorials to the theory of Evolutionary Computing, covering the main approaches to understanding the dynamics of Evolutionary Algorithms. It combines this with recent, previously unpublished research papers based on the material...

Designing Autonomous Agents provides a summary and overview of the radically different architectures that have been developed over the past few years for organizing robots.

Covering traditional linear pattern recognition and its nonlinear extension via neural networks from an algorithmic approach, this practical "why-and-how" book provides a refreshing contrast to the thoeretical approaches and "pie-in-the-sky" claims of competing books. It...