Neurologists, neuropsychologists, and cognitive scientists work with many of the same problems and patients and yet know little about the literature and approaches of the other disciplines. The Neurol
Animals live in a world of other minds, human and nonhuman, and their well-being and survival often depends on what is going on in the minds of these other creatures. But do animals know that other cr
In this book, G. Lynn Stephens and George Graham examine verbal hallucinations and thought insertion as examples of what they call "alienated self-consciousness." In such cases, a subject is
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
In this book, Alan Berger further develops the new theory of reference -- as formulated by Kripke and Putnam -- applying it in novel ways to many philosophical problems concerning reference and existe
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
Drawing on ideas from cognitive linguistics, connectionism, and perception, The Human Semantic Potential describes a connectionist model that learns perceptually grounded semantics for natural languag
By formalizing recent syntactic theories for natural languages Stabler shows how their complexity can be handled without guesswork or oversimplification. By formalizing recent syntactic theories for
Neural Network Learning and Expert Systems is the first book to present a unified and in-depth development of neural network learning algorithms and neural network expert systems. Especially suitable
The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approache
In one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they are connected to
The first systematic examination of Hilary Putnam's arguments against computational functionalism challenges each of Putnam's main arguments. With mind-brain identity theories no longer dominant in
These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. New perspectiv
Humans were thought to be unique among the species in having minds, but recent results showing the richness and diversity in animal psychology makes this view untenable. Yet there remains the question
This book examines the biological, especially the neural, substrates of affiliation and related social behaviors. Affiliation refers to social behaviors that bring individuals closer together. This in
The essays range across fields foundational to cognitive science, including perception, attention, memory, and language, using formal, experimental, and neuroscientific approaches to issues of represe
Leaders in the field provide an introduction to the multidisciplinary collaborations of social neuroscience. This collection of essays by a group of distinguished social neuroscientists provides the
