John M. McNamara – författare

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.

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.

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.

Models of Adaptive Behaviour sets out a framework for adaptive explanations of behaviour, and applies this to give analyses of a range of biological issues such as energetic gain, energy-predation trade-offs, dynamic games, state-dependent life histories, annual routines and fluctuating environments. It gives a definitive account of this exciting field, summarizing previous research, presenting material and suggesting directions for research. Organisms differ in terms of their state - for example in their size, energy relations or temperature - which often affects their behaviour. The framework adopted in this book takes this into account, and provides a common currency for comparing diverse actions. Ultimately this could lead to the development of state-dependent dynamic models. This book will be a revelation for graduate students and researchers interested in behavioural or evolutionary biology.

Models of Adaptive Behaviour sets out a framework for adaptive explanations of behaviour, and applies this to give analyses of a range of biological issues such as energetic gain, energy-predation trade-offs, dynamic games, state-dependent life histories, annual routines and fluctuating environments. It gives a definitive account of this exciting field, summarizing previous research, presenting material and suggesting directions for research. Organisms differ in terms of their state - for example in their size, energy relations or temperature - which often affects their behaviour. The framework adopted in this book takes this into account, and provides a common currency for comparing diverse actions. Ultimately this could lead to the development of state-dependent dynamic models. This book will be a revelation for graduate students and researchers interested in behavioural or evolutionary biology.