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
This pioneering study looks at the effects of prenatal testosterone on postnatal development and behavior. Hormonal effects on behavior have long been studied in animals; the unique contribution of th
Computational Complexity and Natural Language heralds an entirely new way of looking at grammatical systems. It applies the recently developed computer science tool of complexity theory to the study o
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
Mental reflexivity, or metamentation -- a mind thinking about its own thoughts -- underpins reflexive consciousness, deliberation, self-evaluation, moral judgment, the ability to think ahead, and much
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structure
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The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system.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
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
Cellular Biophysics is a quantitatively oriented basic physiology text for senior undergraduate and graduate students in bioengineering, biophysics, physiology, and neuroscience programs. It will also
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
Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of
This book provides the first broad yet thorough coverage of issues in morphological theory. This book provides the first broad yet thorough coverage of issues in morphological theory. It includes a wi
Josef Stern addresses the question: Given the received conception of the form and goals of semantic theory, does metaphorical interpretation, in whole or part, fall within its scope?The many philosoph
Cellular Biophysics is a quantitatively oriented basic physiology text for senior undergraduate and graduate students in bioengineering, biophysics, physiology, and neuroscience programs. It will also
Despite decades of scientific research, the core issues of child development remain too complex to be explained by traditional verbal theories. These issues include structure and transition, represent
Starmaking brings together a cluster of work published over the past 35 years by Nelson Goodman and two Harvard colleagues, Hilary Putnam and Israel Scheffler, on the conceptual connections between mo
Does action always arise out of desire? G.F. Schueler examines this hotly debated topic in philosophy of action and moral philosophy, arguing that once two senses of "desire" are distinguished-roughly
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
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
