| Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics Contributor(s): Vincent, Thomas L. (Author), Brown, Joel S. (Author) |
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ISBN: 0521841704 ISBN-13: 9780521841702 Publisher: Cambridge University Press OUR PRICE: $108.30 Product Type: Hardcover - Other Formats Published: July 2005 Annotation: All of life is a game and evolution by natural selection is no exception. The evolutionary game theory developed in this book provides the tools necessary for understanding many of nature??'s mysteries, including co-evolution, speciation, extinction and the major biological questions regarding fit of form and function, diversity, procession, and the distribution and abundance of life. Mathematics for the evolutionary game are developed based on Darwin's postulates leading to the concept of a fitness generating function (G-function). G-function is a tool that simplifies notation and plays an important role developing Darwinian dynamics that drive natural selection. Natural selection may result in special outcomes such as the evolutionarily stable strategy (ESS). An ESS maximum principle is formulated and its graphical representation as an adaptive landscape illuminates concepts such as adaptation, Fisher??'s Fundamental Theorem of Natural Selection, and the nature of life??'s evolutionary game. |
| Additional Information |
| BISAC Categories: - Science | Life Sciences - Evolution - Mathematics | Game Theory - Mathematics | Applied |
| Dewey: 576.801 |
| LCCN: 2005047074 |
| Physical Information: 0.9" H x 7" W x 9.22" (1.67 lbs) 402 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: All of life is a game, and evolution by natural selection is no exception. The evolutionary game theory developed in this 2005 book provides the tools necessary for understanding many of nature's mysteries, including co-evolution, speciation, extinction and the major biological questions regarding fit of form and function, diversity, procession, and the distribution and abundance of life. Mathematics for the evolutionary game are developed based on Darwin's postulates leading to the concept of a fitness generating function (G-function). G-function is a tool that simplifies notation and plays an important role developing Darwinian dynamics that drive natural selection. Natural selection may result in special outcomes such as the evolutionarily stable strategy (ESS). An ESS maximum principle is formulated and its graphical representation as an adaptive landscape illuminates concepts such as adaptation, Fisher's Fundamental Theorem of Natural Selection, and the nature of life's evolutionary game. |