This volume features a collection of essays on consciousness, which has become one of the hot topics at the crossroads between neuroscience, philosophy, and religious studies. Is consciousness something the brain produces? How can we study it? Is there just one type of consciousness or are there different states that can be discriminated? Are...
This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as...
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...
Future Families explores the variety of family forms which characterize our contemporary culture, while addressing the implications of these increasingly diverse family units on child development.
Reveals the diversity of new family forms based on the most current research on fathers, same-gender parents, new...
This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities are discussed, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. These models involve discontinuities, which are natural...
Attention deficit hyperactivity disorder (ADHD) is a common neurobehavioral disorder affecting 5–10% of children and adolescents and 3% of adults. Attention Deficit Hyperactivity Disorder: From Genes to Patients aims to provide a comprehensive, state-of-the-art overview of the critical aspects of ADHD, and hopefully will serve as...
With a foreword by Paul M. Churchland and Patricia S. ChurchlandThis book represents the views of one of the greatest mathematicians of the twentieth century on the analogies between computing machines and the living human brain. John von Neumann concludes that the brain operates in part digitally, in part analogically, but uses a peculiar...
Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will...
This volume contains eight papers written by Adam Brandenburger and his co-authors over a period of 25 years. These papers are part of a program to reconstruct game theory in order to make how players reason about a game a central feature of the theory. The program now called epistemic game theory extends the classical definition of a game...
This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by...
Pheromones and other kinds of chemical communication underlie the behavior of all animals. Building on the strengths of the first edition, widely recognized as the leading text in the subject, this is a comprehensive overview of how pheromones work. Extensively revised and expanded to cover advances made over the last ten years, the book...
The recent resurgence of interest in neural networks has its roots in the recognition that the brain performs computations in a different manner than do conventional digital computers. Computers are extremely fast and precise at executing sequences of instructions that have been formulated for them. A human information processing system is composed...
