Evolutionary Games and Population Dynamics Oskar Morgenstern 1902
- Slides: 58
Evolutionary Games and Population Dynamics
Oskar Morgenstern (1902 -1977) John von Neumann (1903 -1957) John Nash (b. 1930)
Nash-Equilibrium • • • Arbitrarily many players each has arbitrarily many strategies there always exists an equilibrium solution no player can improve payoff by deviating each strategy best reply to the others
Nash equilibria can be ‚inefficient‘
John Maynard Smith (1920 -2004)
Evolutionary Game Theory • Population of players (not necessarily rational) • Subgroups meet and interact • Strategies: Types of behaviour • Successful strategies spread in population
Population setting
Population Dynamics
Example: Moran Process
Discrete time
Continuous time
Replicator Dynamics
Replicator dynamics and Nash equilibria
Replicator equation
Replicator equation for n=2
Replicator equation for n=2 • Dominance • Bistability • stable coexistence
Example dominance
Vampire Bat (Desmodus rotundus)
Vampire Bat (Desmodus rotundus)
Vampire Bats Blood donation as a Prisoner‘s Dilemma? Wilkinson, Nature 1990 The trait should vanish Repeated Interactions? (or kin selection? )
Example bistability
Example bistability
Example coexistence
Example coexistence
Innerspecific conflicts Ritual fighting Konrad Lorenz: …arterhaltende Funktion
Maynard Smith and Price, 1974:
Example neutrality
If n=3 strategies • Example: Rock-Paper-Scissors
Rock-Paper-Scissors
Rock-Paper-Scissors
Generalized Rock-Paper-Scissors
Generalized Rock-Paper-Scissors
Bacterial Game Dynamics Escherichia coli Type A: wild type
Bacterial Game Dynamics Escherichia coli Type A: wild type Type B: mutant producing colicin (toxic) and an immunity protein
Bacterial Game Dynamics Escherichia coli Type A: wild type Type B: mutant producing colicin (toxic) and an immunity protein Type C: produces only the immunity protein
Bacterial Game Dynamics Escherichia coli Rock-Paper-Scissors cycle Not permanent! Serial transfer (from flask to flask): only one type can survive! (Kerr et al, Nature 2002)
Mating behavior • Uta stansburiana (lizards) • (Sinervo and Lively, Nature, 1998)
Mating behavior • males: 3 morphs (inheritable)
Rock-Paper-Scissors in Nature • males: 3 morphs (inheritable) • A: monogamous, guards female
Rock-Paper-Scissors in Nature • males: 3 morphs (inheritable) • A: monogamous, guards female • B: polygamous, guards harem (less efficiently)
Rock Paper Scissors in human interactions • Example: three players divide some goods • Any pair forms a majority • Shifting coalitions
Phase portraits of Replicator equations:
- Population ecology section 1 population dynamics answer key
- Section 1 population dynamics
- Population ecology section 1 population dynamics
- Chapter 4 population ecology section 1 population dynamics
- Bronchik
- Talcott parsons (1902-1979)
- Equipacion real madrid 1902
- Ch. morgenstern
- Košilela morgenstern
- Pampevlk
- Berliet
- Jamie morgenstern
- The story of teddy bears go back to 1902
- Panitikan sa panahon ng amerikano
- Actus rea
- Oldsmobile 1902
- Oldsmobile 1902
- Ralf morgenstern
- Square deal
- Ralf morgenstern
- Outdoor games and indoor games
- Fish population dynamics and stock assessment
- Autonomous equations and population dynamics
- Real time fluid dynamics for games
- Hunger game questions
- Chapter 4 section 1 population dynamics
- Chapter 4 section 1 population dynamics answer key
- Population dynamics
- Johan xavier
- Oskar vajld sebicni dzin
- Realschule waldenbuch
- Oskar schindler funeral
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- Oskar szindler
- Srecni princ i druge bajke citava lektira
- Oskar schindler referat
- Ode voorbeeld
- Oskar otsus
- Oskar otsus
- Maximilian oskar bircher-benner
- Kolberg lub schindler
- Kandinsky composition 8 analysis
- Oskar otsus
- Oskar lindholm height
- Oskar wolf
- El sacrificio de cristo en la cruz
- Oskar schindler
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- Dilo group
- Oskar diethelm library
- Oskar herrik nielsen
- Oskar januszewski
- Oskar schell character analysis
- Chapter 15 darwin's theory of evolution section 15-1
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- Iterative and evolutionary development
- What is iterative process planning
- Psychological perspective