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Hoffman, Moshe

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Hoffman

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Moshe

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Hoffman, Moshe

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Now showing 1 - 4 of 4
  • Publication

    Cooperate without looking: Why we care what people think and not just what they do

    (Proceedings of the National Academy of Sciences, 2015) Hoffman, Moshe; Yoeli, Erez; Nowak, Martin

    Evolutionary game theory typically focuses on actions but ignores motives. Here, we introduce a model that takes into account the motive behind the action. A crucial question is why do we trust people more who cooperate without calculating the costs? We propose a game theory model to explain this phenomenon. One player has the option to “look” at the costs of cooperation, and the other player chooses whether to continue the interaction. If it is occasionally very costly for player 1 to cooperate, but defection is harmful for player 2, then cooperation without looking is a subgame perfect equilibrium. This behavior also emerges in population-based processes of learning or evolution. Our theory illuminates a number of key phenomena of human interactions: authentic altruism, why people cooperate intuitively, one-shot cooperation, why friends do not keep track of favors, why we admire principled people, Kant’s second formulation of the Categorical Imperative, taboos, and love.

  • Publication

    Uncalculating cooperation is used to signal trustworthiness

    (Proceedings of the National Academy of Sciences, 2016) Jordan, Jillian J.; Hoffman, Moshe; Nowak, Martin; Rand, David Gertler

    Humans frequently cooperate without carefully weighing the costs and benefits. As a result, people may wind up cooperating when it is not worthwhile to do so. Why risk making costly mistakes? Here, we present experimental evidence that reputation concerns provide an answer: people cooperate in an uncalculating way to signal their trustworthiness to observers. We present two economic game experiments in which uncalculating versus calculating decision-making is operationalized by either a subject’s choice of whether to reveal the precise costs of cooperating (Exp. 1) or the time a subject spends considering these costs (Exp. 2). In both experiments, we find that participants are more likely to engage in uncalculating cooperation when their decision-making process is observable to others. Furthermore, we confirm that people who engage in uncalculating cooperation are perceived as, and actually are, more trustworthy than people who cooperate in a calculating way. Taken together, these data provide the first empirical evidence, to our knowledge, that uncalculating cooperation is used to signal trustworthiness, and is not merely an efficient decision-making strategy that reduces cognitive costs. Our results thus help to explain a range of puzzling behaviors, such as extreme altruism, the use of ethical principles, and romantic love.

  • Publication

    An Evolutionary Explanation for Ineffective Altruism

    (Springer Science and Business Media LLC, 2020-10-12) Burum, Bethany; Nowak, Martin A.; Hoffman, Moshe

    We donate billions to charities each year, yet much of our giving is ineffective. Why are we motivated to give but not to give effectively? Building on evolutionary game theory, we argue that donors evolved (genetically or culturally) to be insensitive to efficacy because people tend not to reward efficacy, as social rewards tend to depend on well-defined and highly observable behaviors. We present five experiments testing key predictions of this account that are difficult to reconcile with alternative accounts based on cognitive or emotional limitations. Namely, we show that donors are more sensitive to efficacy when helping (i) themselves or (ii) their family. Moreover, (iii) social rewarders don’t condition on efficacy or other difficult-to-observe behaviors (iv, v), like the amount donated.

  • Publication

    The signal-burying game can explain why we obscure positive traits and good deeds

    Hoffman, Moshe; Hilbe, Christian; Nowak, Martin