In this Second Edition of their landmark text, Authors Jay Friedenberg and Gordon Silverman survey significant theoretical models of the human mind from an interdisciplinary perspective. Unlike other texts for this course which focus solely on classic experiments to illustrate major phenomena, Cognitive Science introduces students to the theoretical models and ideas underlying such empirical work. While experiments are discussed, they are used primarily to illustrate the specific characteristics of a model. This edition includes two new chapters on emotional cognition and social cognition.

About the Authors

Jay Friedenberg is Professor of the Psychology Department at Manhattan College, where he directs the Cognitive Science Program. He is interested in both vision and the philosophy of mind. He teaches courses in physiological psychology, cognition and learning, sensation and perception, and artificial intelligence and robotics. He has published several articles on visual estimation of center of mass. His current research projects focus on the aesthetics of geometrical shapes. He has published books on artificial intelligence, dynamical systems theory, and psychology. He is a member of the International Association of Empirical Aesthetics, the Eastern Psychological Association, the Vision Science Society, the Psychonomic Society, and Phi Beta Kappa. He obtained his PhD in cognitive psychology in 1995 at the University of Virginia.

Gordon Silverman is Professor Emeritus of Electrical and Computer Engineering at Manhattan College. His professional career spans more than 55 years of corporate, teaching, consulting, and research experience, during which he has developed a range of scientific instruments, particularly for use in physiological psychology research environments. He is the holder of eight patents, some related to behavior modification. The author of more than 20 journal articles and books, he has also served on the faculties of The Rockefeller University and Fairleigh Dickinson University. His current research interests include telemedicine, rehabilitation medicine, artificial intelligence, and biomedical instrumentation and modeling. He holds engineering degrees from Columbia University and received a PhD in system science from New York University Polytechnic School of Engineering in 1972.

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