Los EXPERIMENTOS que demuestran que EGOÍSMO es una derrota matemática

Kindness isn't a naive moral choice; it's the most efficient evolutionary strategy ever devised. For decades, we assumed that rational selfishness was the only path to individual success, based on zero-sum models. We were wrong. In this video, we explore how game theory, from John Nash's equilibria to Robert Axelrod's computational tournaments, mathematically demonstrates that cooperation beats conflict in the long run. We apply these models to John Gottman's clinical psychology to understand couple dynamics and reveal why strategy dominates both geopolitics and biology. Discover why, according to mathematics, being "good" is the smartest and most selfish decision you can make. SCIENTIFIC INDEX: 00:00 Introduction: The Survival of Kindness 00:35 Nash Equilibrium and Von Neumann Equilibrium 04:18 The Mathematics of the Couple (Gottman Model) 07:13 Game Theory and Intimacy (The Deer Hunt) 10:13 Axelrod Tournaments: The Global Experiment BIBLIOGRAPHICAL REFERENCES AND CITED LITERATURE: To ensure accuracy in this analysis, it is based on the following academic and experimental literature: 📚 Fundamental Works: Robert Axelrod: Axelrod, R. (1984). The Evolution of Cooperation. Basic Books. (The central study on tournaments and Tit for Tat). John Von Neumann & Oskar Morgenstern: Von Neumann, J., & Morgenstern, O. (1944). Theory of Games and Economic Behavior. Princeton University Press. (The origin of modern game theory). 🔬 Papers and Specific Studies: Nash equilibrium: Nash, J. (1950). "Equilibrium points in n-person games." Proceedings of the National Academy of Sciences, 36(1), 48-49. DOI: 10.1073/pnas.36.1.48 Couple Dynamics (Gottman): Gottman, J. M., & Levenson, R. W. (1992). "Marital processes predictive of later dissolution: Behavior, physiology, and health." Journal of Personality and Social Psychology, 63(2), 221–233. DOI: 10.1037/0022-3514.63.2.221 The Deer Hunt (Rousseau/Game Theory): Skyrms, B. (2004). The Stag Hunt and the Evolution of Social Structure. Cambridge University Press. Mathematical Model of Love: Gottman, J. M., Murray, J. D., et al. (2002). The Mathematics of Marriage: Dynamic Nonlinear Models. MIT Press. #GameTheory #Psychology #JohnNash #Axelrod #Science #MarcSandin #Mathematics #Relationships