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Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
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The principle of natural selection posits that organisms better adapted to their environment are more likely to survive and reproduce. This principle is closely intertwined with mating preferences, a key aspect of sexual selection, which evolutionary psychologists believe is driven by instincts to propagate one's genes. Such instincts significantly influence mating behaviors and preferences between genders.
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Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
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The HoneyComb Paradigm for Research on Collective Human Behavior
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Evolutionary game selection creates cooperative environments.

Onkar Sadekar1, Andrea Civilini2,3, Jesús Gómez-Gardeñes4,5,6

  • 1Department of Network and Data Science, <a href="https://ror.org/02zx40v98">Central European University</a> Vienna, Vienna 1100, Austria.

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|August 20, 2024
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Summary
This summary is machine-generated.

Coevolutionary game models show that not only strategies but also games can evolve together. This dynamic fosters cooperation and amplifies pro-social behavior in structured populations, explaining social dilemmas.

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Area of Science:

  • Evolutionary game theory
  • Complex systems science
  • Social dynamics

Background:

  • Collective cooperation is observed across biology, economics, and social systems.
  • Existing evolutionary game models primarily focus on strategy evolution within fixed games.
  • The coevolution of strategies and the game environment itself is largely unexplored.

Purpose of the Study:

  • To investigate a game selection model where both strategies and games coevolve.
  • To understand how this coevolutionary dynamic influences collective phenomena and cooperation.
  • To examine the impact of structured populations and network architecture on pro-social behavior.

Main Methods:

  • Development of a game selection model incorporating evolutionary principles for both strategies and games.
  • Analysis of coevolutionary dynamics in both unstructured and structured populations.
  • Investigation of the role of network heterogeneity and clustering in interaction networks.

Main Results:

  • Coevolutionary dynamics between games and strategies can lead to novel collective phenomena and foster cooperative environments.
  • Structured populations significantly amplify pro-social behavior compared to unstructured ones.
  • Network heterogeneity and clustered groups of similar players play a critical role in promoting cooperation.

Conclusions:

  • The coevolution of strategies and games provides a new perspective on the emergence of cooperation.
  • Network structure, particularly heterogeneity and clustering, is crucial for amplifying pro-social behavior.
  • This model offers insights into the origins of social dilemmas observed in real-world systems.