Computers & Technology

Intelligence Science is an interdisciplinary subject dedicated to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain research on the principle and model of natural intelligence at the molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Research scientists from the above three disciplines work together to explore new concepts, new theories, and methodologies. This book will introduce the concept and methodology of intelligence science systematically. The whole book is divided into 18 chapters altogether. It can be regarded as a textbook in courses of intelligence science, cognitive science, cognitive informatics etc. for senior and graduate students. It has important reference value for researchers engaged in fields such as intelligence science, brain science, cognitive science, neural science, artificial intelligence, psychology and so on.

Description unavailable for this volume in the current provider response.

Addresses the impact of computer science on automation, modeling, simulation, and optimization of polymer science as a result of the availability of more powerful, lower-cost computers and modeling software. Five sections illustrate a wide variety of modeling applications, including laboratory and information automation; mathematical modeling, simulation, and optimization; cross-linking reactions and cure process modeling; polymerization kinetics and process modeling; and polymerization process control.

Intelligence Science is an interdisciplinary subject dedicated to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain research on the principle and model of natural intelligence at the molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Research scientists from the above three disciplines work together to explore new concepts, new theories, and methodologies. This book will introduce the concept and methodology of intelligence science systematically. The whole book is divided into 18 chapters altogether. It can be regarded as a textbook in courses of intelligence science, cognitive science, cognitive informatics etc. for senior and graduate students. It has important reference value for researchers engaged in fields such as intelligence science, brain science, cognitive science, neural science, artificial intelligence, psychology and so on.

The various contributions to this book come from expert colleagues from all over the world, each discussing an item within their field of specialisation or interest. The variety of topics gives a very clear and interesting overview of the field of Computers and Law. This book is dedicated to the memory of Professor Dr. Guy P.V. Vandenberghe (1953-1989).

Description unavailable for this volume in the current provider response.

For courses in Computer Concepts, Introduction to Computers, Computer Literacy/MIS, CIS, Computer Science, Business. This introduction to computers is noted for its lucid explanations of computing concepts, practical applications of technology theory, and emphasis on the historical and societal impacts of technological innovations. It features integrated coverage of management information systems, networking, email, and the Internet.

Well-known for addressing the use of computers to foster critical-thinking and problem solving, this text was written to teach current and future teachers how to better engage learners more mindfully and meaningfully in the process of learning. Available now in it's Third Edition, it focuses on how to use technology to support meaningful learning through model building, providing powerful strategies for engaging, supporting, and assessing coonceptual change in learners.

Presents, in a question and answer format, information about the history of computers, how they work, how to program them, and their future potential.