Synopsis
Experts report on the latest artificial intelligence research concerning reasoning about reasoning itself.
The capacity to think about our own thinking may lie at the heart of what it means to be both human and intelligent. Philosophers and cognitive scientists have investigated these matters for many years. Researchers in artificial intelligence have gone further, attempting to implement actual machines that mimic, simulate, and perhaps even replicate this capacity, called metareasoning. In this volume, leading authorities offer a variety of perspectives—drawn from philosophy, cognitive psychology, and computer science—on reasoning about the reasoning process.
The book offers a simple model of reasoning about reason as a framework for its discussions. Following this framework, the contributors consider metalevel control of computational activities, introspective monitoring, distributed metareasoning, and, putting all these aspects of metareasoning together, models of the self. Taken together, the chapters offer an integrated narrative on metareasoning themes from both artificial intelligence and cognitive science perspectives.
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About the Authors
Michael T. Cox is Program Manager at DARPA (Defense Advanced Research Projects Agency).
Anita Raja is Associate Professor in the Department of Software and Information Systems at the University of North Carolina at Charlotte.
Ashok K. Goel is Professor of Computer Science at Georgia Institute of Technology.
Michael L. Anderson is Associate Professor in the Department of Psychology at Franklin & Marshall College in Lancaster, Pennsylvania, and a member of the graduate faculty in the Neuroscience and Cognitive Science program at the University of Maryland, College Park. He was a 2012-13 Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford University.
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