冲突与合作博弈中神经调节对人机交互的影响

Derrik E. Asher, Andrew Zaldivar, B. Barton, A. Brewer, J. Krichmar
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引用次数: 0

摘要

博弈论对理解冒险、合作和社会行为很有用。然而,在冲突游戏中决策的神经基础研究中,被试通常使用预先确定的策略对抗对手[1-3]。在目前的研究中,人类受试者与一个神经代理(模拟的和机器人的)玩鹰-鸽游戏,该神经代理具有评估其行动的潜在成本和回报的能力,并相应地调整其行为。神经代理的模型是基于多巴胺能和血清素能系统分别跟踪预期回报和成本的假设[4]。这项研究包括两天的实验,其中一天,受试者的血清素水平通过急性色氨酸消耗(ATD)而降低,在这一天,人类受试者与模拟血清素系统也被改变的神经制剂对抗。当神经毒剂的血清素能系统受损时,通过关闭中脑核的神经活动,神经毒剂倾向于攻击行为,因为它无法评估其行为的代价[4]。当被试与具有攻击性的神经代理对抗时,他们的策略从“赢-保持-输-转移”(WSLS)转变为“以牙还牙”(T4T)。这种向T4T策略的转变可能类似于最后通牒博弈中拒绝不公平报价[2]。T4T策略在战略上不如WSLS有利,它可能会向另一名玩家发送一个信息,即对方认为自己受到了不公平的对待。在其他研究中,ATD导致囚徒困境[3]中叛逃的增加,以及最后通牒博弈[1]中拒绝出价的增加。相比之下,我们并没有观察到由于ATD而导致被试的合作能力下降,而是出现了基于对手类型的策略的强烈显著变化。在我们的人类实验对象中,可能是与反应性、适应性因子的反复相互作用超过了ATD的影响。此外,神经代理的物理实例并没有引起受试者比模拟神经代理更强烈的反应。我们认为,由于神经代理的适应性行为,神经代理的模拟版本和嵌入版本在被试中都引起了强烈的反应。这些结果突出了人类受试者和能够适应其行为的代理之间的重要相互作用。此外,它们揭示了产生合作和竞争行为的神经调节机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effects of neuromodulation on human-robot interaction in games of conflict and cooperation
Game theory has been useful for understanding risk-taking, cooperation, and social behavior. However, in studies of the neural basis of decision-making during games of conflict, subjects typically play against an opponent with a predetermined strategy [1–3]. In the present study, human subjects played Hawk-Dove games against a neural agent, both simulated and robotic, with the ability to assess the potential costs and rewards of its actions and adapt its behavior accordingly. The neural agent's model was based on the assumption that the dopaminergic and serotonergic systems track expected rewards and costs, respectively [4]. The study consisted of two experimental days, one in which subjects' serotonin levels were lowered through acute tryptophan depletion (ATD), where human subjects played against neural agents whose simulated serotonin systems were altered as well. When the neural agent's serotonergic system was compromised, by turning off neural activity in its raphe nucleus, the neural agent tended towards aggressive behavior, due to its inability to assess the cost of its actions [4]. When subjects played against an aggressive neural agent, there was a significant shift in their strategy from Win-Stay-Lose-Shift (WSLS) to Tit-For-Tat (T4T). This shift to a T4T strategy may be similar to the rejection of unfair offers in the Ultimatum Game [2]. A T4T strategy, which is strategically less advantageous than WSLS, could send a message to another player that the subject believes he is being treated unfairly. In other studies, ATD led to increased defections in the Prisoner's Dilemma [3] and more rejections of offers in the Ultimatum Game [1]. In contrast, we did not observe a decrease of cooperativeness in our subjects due to ATD, but rather the emergence of a strongly significant shift in strategies based on opponent type. It may be that iterative interactions with a responsive, adaptive agent outweighed the effects of ATD in our human subjects. Additionally, the physical instantiation of the neural agent did not evoke stronger responses from subjects than did the simulated neural agent. We suggest that both the simulated and embodied versions of the neural agent evoked strong responses in subjects because of the neural agent's adaptive behavior. These results highlight the important interactions between human subjects and an agent that can adapt its behavior. Moreover, they reveal neuromodulatory mechanisms that give rise to cooperative and competitive behaviors.
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