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Value computation in humans

delete2022-09-01
delete15
PRE
AI
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Daniel Sznycer *
DOI:10.1016/j.evolhumbehav.2022.06.002delete
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摘要

摘要

En 中文
Things afford positive, neutral, or negative long-run effects on the replicative probability of the focal individual's genes. At the most general level, values are internal estimates of those effects. Value information steers physi-ology and behavior in the right direction: approach apple, avoid lion. Thus, value computation is of paramount biological importance. Task analysis suggests there are many prerequisites for valuing things aptly. Here, I focus on two: the need to compute value accurately, and the need to properly feed and integrate value information into the various systems that use value information (e.g., emotion systems). For example, the subjective food value imputed to an apple needs to reflect the nutrient content of the apple (accuracy); the intensity of gratitude aroused if someone gave you an apple needs to reflect the food value imputed to the apple (integration). Here, I evaluate these hypotheses with two preregistered studies. Consistent with the integration hypothesis, there are close correspondences between (i) the food values that participants impute to each of 40 food items (Study 1; goods) and (ii) the social values and the social emotions (including: gratitude, anger, shame, and pride) that result when those food items occur as constituents of broader social events. Similar correspondences are observed when participants evaluate each of 28 diseases and injuries (Study 2; bads). Consistent with the accuracy hy-pothesis, exploratory analyses indicate that the food values, the social values, and the social emotions elicited by the food items all track the nutrient content of those food items. Valuation is inherently a computational process. For this reason, a computational-functionalist perspective is distinctively suited to spur progress in our under-standing of human values.
Keyword:
Value computation
Human values
Values
Emotion
Motivation

期刊

Evolution and Human Behavior 封面图
Evolution and Human Behavior
IF:
3.2
论文数:
1.8K
被引数:
4.7K

机构

O
oklahoma state university system
学者数:
8.3K
论文数: 7.3K
被引数: 6
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