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The Ethical Algorithm
Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.
Rhetorical Narratology
"In Rhetorical Narratology, Michael Kearns redresses this one-sidedness by combining traditional narratology's tools for analyzing texts with rhetoric's tools for analyzing audiences. Guiding Kearns's approach is speech-act theory, which, in emphasizing the rule-governed context in which any text is produced and received, provides the means for describing how the structures of narrative may affect certain audiences in certain ways. The central question that rhetorical narratology attempts to answer is how do the various narrative elements isolated by narratologists actually work on readers?"--BOOK JACKET.
Metaphors of Mind in Fiction and Psychology
Curiosity about the human mind—what it is and how it functions—began long before modern psychology. But because the mind and its processes are so elusive, they could be described only by means of metaphor. Michael Kearns, in this prize-winning study, examines the development of metaphors of the mind in psychological writings from Hobbes through William James and in fiction from Defoe through Henry James. Throughout the eighteenth century and even into the early nineteenth, metaphors of the mind as a relatively simple entity, either mechanical or biological, dominated both those engaged in psychological theorizing and novelists ranging from Richardson and Smollett through Dickens and the Brontes. In the nineteenth century, such psychologists as Herbert Spencer and Alexander Bain conceived of the mind as a complex organism quite different from that embodied in earlier thinking, but their figurative language did not keep pace. The result was a tension between theoretical expression and actual discussion of mental phenomena
An Introduction to Computational Learning Theory
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the com...
Current Catalog
First multi-year cumulation covers six years: 1965-70.
The Historical Eye
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Signal
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Bayesian Models of Perception and Action
An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action. Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners. Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics Written by leaders in the field of computational approaches to mind and brain
