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Full 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.
Contents
1: Setting the scene
2: Central concepts
3: Standard examples
4: Stability concepts: beyond Nash equilibria
5: Learning in large worlds
6: Co-evolution of traits
7: Variation, consistency, and reputation
8: Interaction, negotiation, and learning
9: Games embedded in life
10: Games over generations
11: Future perspectives
Appendix A: Summary of notation
Appendix B: Solutions to exercises
