Advancing Learning and Evolutionary Game Theory : with an Application to Social Dilemmas

Luis R. Izquierdo

ISBN 10: 3843361339 / ISBN 13: 9783843361330

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis advances game theory by formally analysing the implications of some of its most stringent assumptions. The approach followed here consists in examining the consequences of replacing some of the assumptions made in game theory for the sake of mathematical tractability with alternatives that at least in some contexts are more plausible. Specifically, this thesis makes two distinct contributions in the field of learning game theory and one in the field of evolutionary game theory. The method employed has been a symbiotic combination of computer simulation and mathematical analysis. Computer simulation has been used extensively to enhance our understanding of various formal systems beyond the current limits of mathematical tractability, and also to illustrate, complement and extend various analytical derivations. Our results suggest that some of the most fundamental assumptions embedded in game theory may have deeper philosophical implications than commonly assumed. PhD Supervisors: Nick Gotts & Bruce Edmonds. Institutions: The Macaulay Institute, Manchester Metropolitan University, and University of Burgos.

Seller Inventory # 9783843361330

Bibliographic Details

• Title: Advancing Learning and Evolutionary Game Theory : with an Application to Social Dilemmas
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3843361339
• ISBN 13: 9783843361330
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 340 grams

About this title

Synopsis

This thesis advances game theory by formally analysing the implications of some of its most stringent assumptions. The approach followed here consists in examining the consequences of replacing some of the assumptions made in game theory for the sake of mathematical tractability with alternatives that ?at least in some contexts? are more plausible. Specifically, this thesis makes two distinct contributions in the field of learning game theory and one in the field of evolutionary game theory. The method employed has been a symbiotic combination of computer simulation and mathematical analysis. Computer simulation has been used extensively to enhance our understanding of various formal systems beyond the current limits of mathematical tractability, and also to illustrate, complement and extend various analytical derivations. Our results suggest that some of the most fundamental assumptions embedded in game theory may have deeper philosophical implications than commonly assumed. PhD Supervisors: Nick Gotts & Bruce Edmonds. Institutions: The Macaulay Institute, Manchester Metropolitan University, and University of Burgos.

About the Author

Luis R. Izquierdo is a complex systems modeller with a strong background in mathematics, computer modelling, and economics. His main area of expertise is game theory and the analysis of complex systems.