Tit for tat in heterogeneous populations
By Martin A. Nowak, Karl Sigmund. 1992
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- Alex Peysakhovich
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- David G. Rand
- Marc Lanctot
Citations in the corpus
- Multi-agent Reinforcement Learning in Sequential Social Dilemmas (2017, background): “The empirical payoff matrices are themselves valid matrix games.”
- The promise of Mechanical Turk: how online labor markets can help theorists run behavioral experiments. (2012, background): “…on direct reciprocity (Axelrod, 1984; Axelrod and Hamilton, 1981; Fudenberg and Maskin, 1986; Fudenberg and Maskin, 1990; Nowak and Sigmund, 1993; Nowak and Sigmund, 1992) led to a number of experiments showing the power of (stochastic) repetition for promoting cooperation and exploring the…”
- Good neighbour, bad neighbour: song sparrows retaliate against aggressive rivals (2009, unknown): “He suggested that the lack of retaliation might indicate that these birds were using a more forgiving variant of Tit for Tat ( Nowak & Sigmund 1992 ), one that might work better between neighbours with long-term associations than a less forgiving strategy.”
- Communication and collective action: language and the evolution of human cooperation (2010, background): “…errors of perception (mistakenly classifying a response as defect) and of commission (accidentally violating the reciprocity rule), either of which can lock tit-for-tat players into an endless sequence of mutual defection (Boyd & Lorberbaum, 1987; Nowak & Sigmund, 1992; Selten & Hammerstein, 1984).”
- From parasitism to mutualism: partner control in asymmetric interactions (2002, background): “Boyd 1989; Nowak & Sigmund 1992; Nowak & Sigmund 1993) may all combine with the threat of terminating the encounter, pushing interactions further towards cooperation.”
- Evolution of extortion in Iterated Prisoner’s Dilemma games (2012, background): “[10] Nowak MA, Sigmund K (1992) Tit for tat in heterogeneous populations.”
- Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model (2000, background): “by equipping the automata with a memory for the behaviour of other automata (Lindgren and Nordahl, 1995; Molander, 1985; Nowak and Sigmund, 1992), or by equipping the automata with evolutionary strategies (genetic algorithms), which allowed them to adapt their choice behaviour to the behaviour of th”