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首页> 外文期刊>Journal of Experimental and Theoretical Artificial Intelligence >Modelling agent’s preferences by its designer’s social value orientation
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Modelling agent’s preferences by its designer’s social value orientation

机译：通过设计师的社会价值取向来塑造代理商的偏好

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摘要

Human social preferences have been shown to play an important role in many areas of decision-making. There is evidence from the social science literature that human preferences in interpersonal interactions depend partly on a measurable personality trait called, Social Value Orientation (SVO). Automated agents are often written by humans to serve as their delegates when interacting with other agents. Thus, one might expect an agent's behaviour to be influenced by the SVO of its human designer. With that in mind, we present the following: first, we explore, discuss and provide a solution to the question of how SVO tests that were designed for humans can be used to evaluate agents' social preferences. Second, we show that in our example domain there is a medium-high positive correlation between the social preferences of agents and their human designers. Third, we exemplify how the SVO information of the designer can be used to improve the performance of some other agents playing against those agents, and lastly, we develop and exemplify the behavioural signature SVO model which allows us to better predict performances when interactions are repeated and behaviour is adapted.
机译：人类的社会偏好在许多决策领域已显示出重要作用。社会科学文献中有证据表明，人与人之间的互动中的人类偏爱部分取决于可测量的人格特质，即社会价值取向（SVO）。自动化代理通常由人类编写，以在与其他代理进行交互时充当其代理。因此，人们可能期望代理人的行为受到其人工设计师的SVO的影响。考虑到这一点，我们提出以下内容：首先，我们探索，讨论并提供一个解决方案，以解决如何为人类设计的SVO测试可用于评估代理商的社会偏好的问题。其次，我们表明在示例域中，代理商及其人工设计师的社会偏好之间存在中等高度的正相关。第三，我们举例说明如何使用设计者的SVO信息来提高其他与这些代理竞争的其他Agent的性能，最后，我们开发并举例说明行为签名SVO模型，该模型可以让我们在重复进行交互时更好地预测性能并调整行为。

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