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45 864 Ft
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Product details:
- Publisher OUP Oxford
- Date of Publication 24 September 2020
- ISBN 9780198815778
- Binding Hardback
- No. of pages352 pages
- Size 242x160x25 mm
- Weight 694 g
- Language English 98
Categories
Short description:
This novel reassessment of the field presents the central concepts in evolutionary game theory and provides an authoritative and up-to-date account. The focus is on concepts that are important for biologists in their attempts to explain observations. This strong connection between concepts and applications is a recurrent theme throughout the book.
MoreLong description:
The principles of game theory apply to a wide range of topics in biology. This book presents the central concepts in evolutionary game theory and provides an authoritative and up-to-date account. The focus is on concepts that are important for biologists in their attempts to explain observations. This strong connection between concepts and applications is a recurrent theme throughout the book which incorporates recent and traditional ideas from animal psychology, neuroscience, and machine learning that provide a mechanistic basis for behaviours shown by players of a game. The approaches taken to modelling games often rest on idealized and unrealistic assumptions whose limitations and consequences are not always appreciated. The authors provide a novel reassessment of the field, highlighting how to overcome limitations and identifying future directions.
Game Theory in Biology is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of behavioural ecology and evolutionary biology. It will also be of relevance to a broader interdisciplinary audience including psychologists and neuroscientists.
a valuable book
Table of Contents:
Setting the scene
Central concepts
Standard examples
Stability concepts: beyond Nash equilibria
Learning in large worlds
Co-evolution of traits
Variation, consistency, and reputation
Interaction, negotiation, and learning
Games embedded in life
Games over generations
Future perspectives
Appendix A: Summary of notation
Appendix B: Solutions to exercises
