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Game Theory in Biology John M. McNamara (School of Mathematics, University of Bristol, UK)

Game Theory in Biology von John M. McNamara (School of Mathematics, University of Bristol, UK)

Game Theory in Biology John M. McNamara (School of Mathematics, University of Bristol, UK)


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Zusammenfassung

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.

Game Theory in Biology Zusammenfassung

Game Theory in Biology: concepts and frontiers John M. McNamara (School of Mathematics, University of Bristol, UK)

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.

Game Theory in Biology Bewertungen

a valuable book * Andrey Zahariev, zb Math Open *
Advanced textbook for graduate-level students and professional researchers presents the central concepts and modeling approaches in biological game theory, highlighting the connection between concepts and applications, the limitations of current models, and areas for future development. * Journal of Economic Literature (Volume 59, no. 1) *
This is an excellent exposition of game theory as applied in biology, written by two of the leading lights in the field. The book is very well crafted, with illuminating explanations and a nicely balanced use of mathematics. It is intended to be an advanced-level textbook and reference for biological researchers current or future. But it will also intrigue researchers in economics who indulge in interdisciplinarity. Economists will find the style-the use of mathematics, in particular- highly congenial. . . I recommend this book unreservedly * Arthur Robson, Department of Economics, Simon Fraser University, Journal of Economic Literature *
There is much to like about this book. From the outset, the models are motivated by biological systems and observations. That is, the authors are using evolutionary theory to answer the question why is nature like that? rather than asserting that this is how nature should be. . . . It is rare to find a book that can be used effectively by both experts and neophytes, but this is one. Indeed, I can imagine teaching an upper-level undergraduate seminar with it, passing it to a new postdoctoral researcher who wants to learn the methods, and using it in my own research. Owning it will be a wise investment. * Marc Mangel, University of Bergen, The Quarterly Review of Biology *
McNamara and Leimar succeed in producing a very accessible discussion of topics from which many nontheoretically inclined researchers would usually struggle to gain much insight... I cannot recommend this book more enthusiastically...a real gem, bursting with revolutionary insight. * Sasha R.X. Dall, Animal Behaviour *
[The authors] stimulate the reader to imagine beyond the traditional ways of doing game theory in biology...The exercises, provided at the end of the main chapters, are excellent for practicing the logic presented. * Chaitanya Gokhale & Arne Traulsen, ISBE Newsletter *
McNamara and Leimar have contributed to game theory in evolutionary biology for almost as long as the approach has existed. Their new book is for those who really want to know the nuts and bolts of the techniques involved, and is driven by examples of actual topics of interest to evolutionary and behavioural ecologists. * Hanna Kokko, Trends in Ecology and Evolution *

Über John M. McNamara (School of Mathematics, University of Bristol, UK)

John McNamara is Emeritus Professor of Mathematics and Biology at the University of Bristol, UK. After competing his doctorate on black holes in 1976, he changed his research focus to animal behaviour and evolutionary biology. In these fields he has developed approaches to modelling behaviour, particularly approaches based on state variables. In studying animal behaviour his objective has been to provide theoretical explanations of known phenomena and to motivate and steer the direction of new experiments. Areas in which he has contributed include foraging theory, life history theory, and game theory. Olof Leimar is Emeritus Professor of Zoology at Stockholm University, Sweden. After studying theoretical physics in Stockholm, he switched to biology and completed his doctorate in 1988 with a thesis on game-theory analysis of animal fighting. In modelling animal behaviour, he introduces behavioural mechanisms, including mechanisms from learning psychology to achieve greater biological realism. In addition to fighting behaviour, he has applied this approach to the evolution of warning colouration and mimicry. Other fields he has worked in include sex allocation, mutualism, life-history theory, developmental plasticity and phenotype determination. He develops mathematical models, but he has also been involved in experimental work in his areas of interest.

Inhaltsverzeichnis

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

Zusätzliche Informationen

GOR012851614
9780198815785
0198815786
Game Theory in Biology: concepts and frontiers John M. McNamara (School of Mathematics, University of Bristol, UK)
Gebraucht - Sehr Gut
Broschiert
Oxford University Press
20200924
352
N/A
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