Evolutionary game theory | Game theory equilibrium concepts
An evolutionarily stable strategy (ESS) is a strategy (or set of strategies) that is impermeable when adopted by a population in adaptation to a specific environment, that is to say it cannot be displaced by an alternative strategy (or set of strategies) which may be novel or initially rare. Introduced by John Maynard Smith and George R. Price in 1972/3, it is an important concept in behavioural ecology, evolutionary psychology, mathematical game theory and economics, with applications in other fields such as anthropology, philosophy and political science. In game-theoretical terms, an ESS is an equilibrium refinement of the Nash equilibrium, being a Nash equilibrium that is also "evolutionarily stable." Thus, once fixed in a population, natural selection alone is sufficient to prevent alternative (mutant) strategies from replacing it (although this does not preclude the possibility that a better strategy, or set of strategies, will emerge in response to selective pressures resulting from environmental change). (Wikipedia).
Game theory (3), more complicated strategies and equilibria.
This video elaborates on the concept of stable strategies and evolutionary equilibria to include polymorphisms of pure strategies and the evolution of mixed strategies such as phenotypic plasticity.
From playlist TAMU: Bio 312 - Evolution | CosmoLearning Biology
11. Evolutionary stability: cooperation, mutation, and equilibrium
Game Theory (ECON 159) We discuss evolution and game theory, and introduce the concept of evolutionary stability. We ask what kinds of strategies are evolutionarily stable, and how this idea from biology relates to concepts from economics like domination and Nash equilibrium. The informal
From playlist Game Theory with Ben Polak
12. Evolutionary stability: social convention, aggression, and cycles
Game Theory (ECON 159) We apply the idea of evolutionary stability to consider the evolution of social conventions. Then we consider games that involve aggressive (Hawk) and passive (Dove) strategies, finding that sometimes, evolutionary populations are mixed. We discuss how such games ca
From playlist Game Theory with Ben Polak
Evolution Strategry (ES) - Part 1 - Introduction to Evolution Strategy
This video is about Evolution Strategry (ES) - Part 1 - Introduction to Evolution Strategy
From playlist Optimization
Reactive Systems use a high-performance software architecture. They are resilient under stress, and their reactive design allows them to scale elastically to meet demand. The reactive design approach allows the creation of more complex, more flexible systems and forms the basis for some of
From playlist Software Engineering
Evolution Strategy (ES) - Part 2 - (1+1)-ES
This video is about Evolution Strategy (ES) - Part 2 - (1+1)-ES
From playlist Optimization
Evolution Strategy - Part 5 - Crossover Operators
This video is about Evolution Strategy - Part 5 - Crossover Operators
From playlist Optimization
Game theory (2), the hawk:dove model.
This video examines the hawk:dove model and uses it to discuss the evolution of stable strategies. How this perspective leading us to understand the relative universality of stable sex ratios is discussed.
From playlist TAMU: Bio 312 - Evolution | CosmoLearning Biology
Evolutionary game theory by Matteo Marsili
Winter School on Quantitative Systems Biology DATE:04 December 2017 to 22 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter S
From playlist Winter School on Quantitative Systems Biology
33. Evolutionary Game Theory: Fighting and Contests
Principles of Evolution, Ecology and Behavior (EEB 122) The economic concept of game theory can be readily applied to evolution and behavior. By analyzing encounters between organisms as a mathematical "game," important information such as fitness payoffs and the proportions of "strateg
From playlist Evolution, Ecology and Behavior with Stephen C. Stearns
Game theory: exercises by Vishwesha Guttal
PROGRAM : PREPARATORY SCHOOL ON POPULATION GENETICS AND EVOLUTION ORGANIZERS : Deepa Agashe and Kavita Jain DATE & TIME : 04 February 2019 to 10 February 2019 VENUE :Ramanujan Lecture Hall, ICTS Bangalore The 2019 preparatory school on Population Genetics and Evolution (PGE2019) will be
From playlist Preparatory School on Population Genetics and Evolution
Collective Phenomena, Collective Motion, and Collective Action in Ecological Systems - Simon Levin
Simon Levin Princeton University February 25, 2013 Fundamental questions in basic and applied ecology alike involve complex adaptive systems, in which localized interactions among individual agents give rise to emergent patterns that feed back to affect individual behavior. In such systems
From playlist Mathematics
Why Are There As Many Males As Females?
Evolution doesn’t pick a side! Don’t miss our next video! SUBSCRIBE! ►► http://bit.ly/iotbs_sub ↓↓↓ More info and sources below ↓↓↓ In almost every animal species on Earth, equal numbers of males and females are conceived. Why is that? Especially in populations like lions or elephant se
From playlist Be Smart - LATEST EPISODES!
1.4 - Evolutionary Thinking: Adaptation: Why it is Problematic and How to Recognize it
"Evolutionary Medicine" Sinauer Associates (2015) is the textbook that supports these lectures. Instructors can request examination copies and sign up to download figures here: http://www.sinauer.com/catalog/medical/evolutionary-medicine.html
From playlist Evolution and Medicine (2015) with Stephen Stearns
Evolution Strategy (ES) - Part 4 - Selection Strategy
This video is about Evolution Strategy (ES) - Part 4 - Selection Strategy
From playlist Optimization
Sebastian J. Schreiber: Coevolution of habitat use in stochastic environments
Species live and interact in landscapes where enviornmental conditions vary both in time and space. In the face of this spatial-temporal heterogeneity, species may co-evolve their habitat choices which determine their spatial distributions. To understand this coevolution, I present an anal
From playlist Probability and Statistics
Support Stated Clearly on Patreon: https://www.patreon.com/statedclearly Evolution is often considered a complex and controversial topic but it's actually a very simple concept to understand. Watch this short animation to see how evolution works. Share it with your friends on Facebook who
From playlist Genetics and Evolution
Some Equations and Games in Evolutionary Biology - Christine Taylor
Some Equations and Games in Evolutionary Biology Christine Taylor Harvard University; Member, School of Mathematics February 14, 2011 The basic ingredients of Darwinian evolution, selection and mutation, are very well described by simple mathematical models. In 1973, John Maynard Smith lin
From playlist Mathematics