On the Study of Human Cooperation via Computer Simulation: Why Existing Computer Models Fail to Tell Us Much of Anything: Synthesis Lectures on Games and Computational Intelligence
Autor Garrison W. Greenwooden Limba Engleză Paperback – 12 sep 2019
Over the past 25 years, countless papers on social dilemma games have been published, yet arguably little progress has been made. The problem is the social dilemma game models are unrealistic in the sense they contain artificial constructs that deviate from the way humans act. This book describes the shortcomings in current social dilemma game modeling techniques and provides guidance on designing more effective models. A basic introduction to game theory is provided with an emphasis on the prisoner's dilemma, the most widely studied social dilemma game. Individual chapters are provided detailing the shortcomings of weak selection, spatial games, and the Moran process. Computer model validation is also discussed at length. The recommendations found in this book should help design more realistic social dilemma game models likely to produce a better understanding of human cooperation.
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Specificații
ISBN-13: 9783031009938
ISBN-10: 3031009932
Pagini: 80
Ilustrații: XIV, 80 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.18 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Games and Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3031009932
Pagini: 80
Ilustrații: XIV, 80 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.18 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Games and Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Preface.- Acknowledgments.- Social Dilemmas.- Prisoner's Dilemma and Other Social Dilemma Games.- Spatial and Network Games.- The Case Against Weak Selection.- The Moran Process and Replicator Dynamics.- The Problems with Computer Models.- The Path Forward.- Bibliography.- Author's Biography.- Index.
Notă biografică
Garrison W. Greenwood received a Ph.D. in Electrical Engineering at the University of Washington in Seattle, WA. He spent over a decade in industry designing multi-processor embedded systems and computer models for companies including Boeing, Honeywell, and Space Labs Medical. He then entered academia where he is currently a professor in the Electrical and Computer Engineering Department at Portland State University, Portland, OR. He was a Visiting Faculty at the University of New South Wales, Canberra, Australia for all of 2013. His research interests are evolvable hardware, cyber-physical systems, and evolutionary game theory. Dr. Greenwood has been actively involved in the IEEE Computational Intelligence Society (CIS). He is the past chair of the Evolutionary Computation Technical Committee andserved four years as the CIS Vice-President of Conferences. From 2006-2014 he was the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation. He is currently serving on the CIS Ethics Committee and is member of the CIS Technical Committee on Games. Dr. Greenwood is a member of the Tau Beta Pi and Eta Kappa Nu engineering honor societies and is a Registered Professional Electrical Engineer in the State of California.