Humans and other animals depend on their ability to perceive and represent spatial aspects of the world. We learn spatial schemas by observing the locations and movements of objects (including people)
These tales describe the growth of knowledge about the brain from the early Egyptians and Greeks to the present time. The author attempts to answer the question of how the discipline of neuroscience e
This volume presents the most up-to-date collection of neural network models of music and creativity gathered together in one place. Chapters by leaders in the field cover new connectionist models of
Among the many branches of philosophy, the philosophy of time and the philosophy of language are more intimately interconnected than most, yet their practitioners have long pursued independent paths.
What is the difference between a wink and a blink? The answer is important not only to philosophers of mind, for significant moral and legal consequences rest on the distinction between voluntary and
This wide-ranging collection of essays is inspired by the memory of the cognitive psychologist John Macnamara, whose influential contributions to language and concept acquisition have provided the bas
At a time in the history of psychology when many psychologists are troubled by the splintered condition of the field, Gregory Kimble proposes that the diverse perspectives in psychology share ways of
There is increasing interest in genetic programming by both researchers and professional software developers. These twenty-two invited contributions show how a wide variety of problems across discipli
Most neural-network programmes for personal computers and engineering workstations simply control a fixed set of canned network-layer algorithms with pulldown menus. This hands-on tutorial demonstrate
This work integrates a twenty-year research program on the nature of high-level vision and mental imagery. It marshals insights and empirical results from computer vision, neuroscience, and cognitive
Large-Scale Neuronal Theories of the Brain brings together thirteen original contributions by some of the top scientists working in neuroscience today. It presents models and theories that will most l
Taking a stand midway between Piaget's constructivism and Fodor's nativism, Annette Karmiloff-Smith offers an exciting new theory of developmental change that embraces both approaches. She shows how e
Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics and machine learning. Presenting interesting, new experimental results, "Learni
