Paperback
|
Engels
€ 55,95
- Vanaf €15,- geen verzendkosten.
- 30 dagen ruiltermijn voor fysieke producten
Omschrijving
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.
a valuable book
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.
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
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.
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.
[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.
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.
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.
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.
a valuable book
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.
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
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.
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.
[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.
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.
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.
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.