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KAMA: A Temperature-Driven Model of Mate Choice Using Dynamic Partner Representations

机译：KAMA：使用动态伙伴表示的伴侣选择的温度驱动模型

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摘要

KAMA is a model of mate-choice based on a gradual, stochastic process of building up representations of potential partners through encounters and dating, ultimately leading to marriage. Individuals must attempt to find a suitable mate in a limited amount of time with only partial knowledge of the individuals in the pool of potential candidates. Individuals have multiple-valued character profiles, which describe a number of their characteristics (physical beauty, potential earning power, etc.), as well as preference profiles, that specify their degree of preference for those characteristics in members of the opposite sex. A process of encounters and dating allows individuals to gradually build up accurate representations of potential mates. Individuals each have a "temperature," which is the extent to which they are willing to continue exploring mate-space and which drives individual decision making. The individual-level mechanisms implemented in KAMA produce population-level data that qualitatively matches empirical data. Perhaps most significantly, our results suggest that differences in first-marriage ages and hazard-rate curves for men and women in the West may to a large extent be due to the Western dating practice whereby males ask women out and women then accept or refuse their offer.
机译：KAMA是一种择偶模式，它是基于逐渐的随机过程，通过相遇和约会建立潜在伴侣的代表，最终导致婚姻。个人必须尝试在有限的时间内找到合适的伴侣，而只对部分潜在候选人有一定了解。个人具有多值角色特征，这些特征描述了他们的许多特征（身体美，潜在的收入能力等），以及偏好特征，这些特征指定了他们对异性成员对这些特征的偏好程度。 encounter和约会的过程使个人逐渐建立起潜在伴侣的准确表象。每个人都有一个“温度”，这是他们愿意继续探索交配空间的程度，并且可以驱动个人的决策。在KAMA中实施的个人级别的机制所生成的人口级别的数据在质量上与经验数据相匹配。也许最重要的是，我们的结果表明，西方男性和女性的初婚年龄和危险率曲线的差异可能在很大程度上是由于西方的约会习惯，即男性要求女性出境，然后女性接受或拒绝提供。

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