Evolutionary Game Theory

Evolutionary game theory originated in population biology from the realisation that frequency-dependent fitness introduced a strategic element into evolution. Since its development, evolutionary game theory has been adopted by many social scientists, and philosophers, to analyse interdependent decision problems played by boundedly rational individuals. Its study has led to theoretical innovations of great interest for the biological and social sciences. For example, theorists have developed a number of dynamical models which can be used to study how populations of interacting individuals change their behaviours over time. In this introduction, this Element covers the two main approaches to evolutionary game theory: the static analysis of evolutionary stability concepts, and the study of dynamical models, their convergence behaviour and rest points. This Element also explores the many fascinating, and complex, connections between the two approaches.

Riassunto

This Element covers the two main approaches to evolutionary game theory: the static analysis of evolutionary stability concepts, and the study of dynamical models, their convergence behaviour and rest points. The Element also explores the many fascinating, and complex, connections between the two approaches.

Prefazione

This Element models the dynamics of boundedly rational agents in strategic settings, showing how behaviours emerge, change, and stabilise.

Dettagli sul prodotto

• Autori: J. McKenzie Alexander, J. Mckenzie (London School of Economics Alexander
• Editore: Cambridge University Press ELT
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 28.02.2023
• Categoria: Scienze naturali, medicina, informatica, tecnica > Scienze naturali, tematiche generali
• EAN: 9781108713474
• ISBN: 978-1-108-71347-4
• Numero di pagine: 75
• Serie: Elements in Decision Theory and Philosophy
• Categorie: Evolution; SCIENCE / Philosophy & Social Aspects; Philosophy of Mathematics; game theory; Evolution / Evolutionary biology