An influential scholar in science studies argues that innovation tames the insatiable and limitless curiosity driving science, and that society's acute ambivalence about this is an inevitable legacy of modernity.Curiosity is the main driving force behind scientific activity. Scientific curiosity, insatiable in its explorations, does not know what it will find, or where it will lead. Science nee…
This text is a proposal for an interdisciplinary context-sensitive framework for assessing the strength of scientific arguments that melds J{uml}urgen Habermas's discourse theory and sociological contextualism.
"A Bradford book.""Neural Networks for Pattern Recognition takes to a new level the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nig…
"The image of the addict in popular culture combines victimhood and moral failure; we sympathize with addicts in films and novels because of their suffering and their hard-won knowledge. And yet actual scientific knowledge about addiction tends to undermine this cultural construct. In What Is Addiction? leading addiction researchers from neuroscience, psychology, genetics, philosophy, economics…
An influential scholar in science studies argues that innovation tames the insatiable and limitless curiosity driving science, and that society's acute ambivalence about this is an inevitable legacy of modernity.Curiosity is the main driving force behind scientific activity. Scientific curiosity, insatiable in its explorations, does not know what it will find, or where it will lead. Science nee…
An influential scholar in science studies argues that innovation tames the insatiable and limitless curiosity driving science, and that society's acute ambivalence about this is an inevitable legacy of modernity.Curiosity is the main driving force behind scientific activity. Scientific curiosity, insatiable in its explorations, does not know what it will find, or where it will lead. Science nee…
"Granino A. Kom has been a Professor of Electrical Engineering at the University of Arizona and has worked in the aerospace industry for a decade. He is the author of ten other engineering texts and handbooks.""A Bradford Book.""Most neural network programs for personal computers simply control a set of fixed, canned network-layer algorithms with pulldown menus. This new tutorial offers hands-o…
"A Bradford book."Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations and rigorous demonstrations of these phenomena, this book includes results on vision, speech, cognitive information processing; adaptive pa…
How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications.Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those s…
Essays on great figures and important issues, advances and blind alleys-from trepanation to the discovery of grandmother cells-in the history of brain sciences.