Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to...
This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors...
Artificial Intelligence (AI) has the definite goal of understanding intelligence and
building intelligent systems. However, the methods and formalisms used on the way
to this goal are not firmly set, which has resulted in AI consisting of a multitude of
subdisciplines today. The difficulty in an introductory AI course lies in conveying...
This book is devoted to the study of fuzzy reasoning as applied to decision making and control processes. It contains a collection of important contributions covering a wide well-selected range of topics within the field. The book contains twenty-one papers, written by thirty-four distinguished contributors and is divided into five...
Image processing—from basics to advanced applications
Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and...
Why do people find monkeys and apes so compelling to watch? One clear answer is that they seem so similar to us-a window into our own minds and how we have evolved over millennia. As Charles Darwin wrote in his Notebook M, "He who understands baboon would do more toward metaphysics than Locke." Darwin recognized that behavior and...
When I was being interviewed at the handwriting recognition group of IBM T.J.
Watson Research Center in December of 1990, one of the interviewers asked me
why, being a mechanical engineer, I was applying for a position in that group. Well,
he was an electrical engineer and somehow was under the impression that handwriting...
Artificial neural networks, or simply called neural networks, refer to the
various mathematical models of human brain functions such as perception,
computation and memory. It is a fascinating scientific challenge of our time to
understand how the human brain works. Modeling neural networks facilitates
us in investigating the...
Over a century ago, William James proposed that people search through memory much as they rummage through a house looking for lost keys. We scour our environments for territory, food, mates, and information. We search for items in visual scenes, for historical facts, and for the best deals on Internet sites; we search for new friends to add...
This is the second part in a two-volume work on neuromodulation. It describes the techniques and procedures applied by direct contact with the central nervous system or cranial nerves (in order to modulate the function of neural networks) or in deeply located structures inside the nervous system (in order to alter the function on specific...
This book has its origins in a meeting entitled ‘‘Toward Replacement Parts for the Brain: Intracranial Implantation of Hardware Models of Neural Circuitry,’’ that took place in Washington, D.C., in August 1999. The meeting was sponsored by the National Institute of Mental Health (NIMH), the University of Southern California...
