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Decision Under Risk in Multi-Agent Systems

机译：多助理系统风险下的决定

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Expected Utility Theory (EUT) is the standard decision-making methodology used under uncertain conditions, but it is incapable of fully capturing actual human decision-making behaviors when under risk. Kahneman and Tversky's prospect theory is an alternative to EUT to deal with uncertainty when under risk. However, incorporating it into multi-agent decision-making requires two significant extensions to the present theory. First, rather than immediately making a choice directly from the set of alternatives, an agent should use the prospect theory's value function to initially form an attitude concerning each possible alternative and likewise solve the corresponding decision problem with a preference order. Correspondingly, this preference order should not be constructed solely on the basis of the individual agent's own attitudes but with the attitudes of all agents which are relevant This paper presents our work on these two extensions. Finally, we present several experiments that explore risk management behaviors of agents in social settings.
机译：预期的实用理论（EUT）是在不确定条件下使用的标准决策方法，但它无法在风险下完全捕捉实际的人类决策行为。 Kahneman和Tversky的前景理论是在风险下处理不确定性的替代方案。然而，将其纳入多种子体决策需要两个重要的延伸到本理论。首先，而不是直接从替代方案开始选择，代理商应该使用前景理论的价值函数，最初形成每个可能的替代方案的态度，同样地解决了偏好顺序的相应决策问题。相应地，不应仅根据个人代理人自己的态度来构建这种偏好顺序，而是通过本文相关的所有代理商的态度，展示了我们在这两个扩展方面的工作。最后，我们提出了几个实验，探讨了社会环境中代理人的风险管理行为。

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