互动选择与接触选择中的策略行为

Björn-Oliver Hartmann, Klemens Böhm, Christian Hütter
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引用次数: 0

摘要

像Aardvark或Yahoo Answers这样的社交搜索平台最近吸引了很多关注。原则上,参与者在社交搜索系统中有两个战略维度:(1)交互选择,即转发/处理(或不转发)传入请求;(2)联系人选择,即添加或删除联系人。在具有这些战略维度的系统中,尚不清楚节点是否合作,以及它们是否形成有效的网络结构。为了阐明这个基本问题,我们进行了一项研究,调查人类在互动选择中的行为,并调查人类形成有效网络的能力。为了限制研究参与者对问题的必要理解程度,我们将问题作为在线游戏引入。193名受试者参加了为期67天的在线研究。结果之一是,实验对象策略性地选择联系人,他们使用的策略会导致合作和几乎高效的系统。令人惊讶的是,被试倾向于高估合作联系的价值,并保持合作但代价高昂的联系。这个观察结果很重要:帮助被试避免这种行为的代理可能会产生更高的效率。
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Strategic Behavior in Interaction Selection and Contact Selection
Social search platforms like Aardvark or Yahoo Answers have attracted a lot of attention lately. In principle, participants have two strategic dimensions in social search systems: (1) Interaction selection, i.e., forwarding/processing incoming requests (or not), and (2) contact selection, i.e., adding or dropping contacts. In systems with these strategic dimensions, it is unclear whether nodes cooperate, and if they form efficient network structures. To shed light on this fundamental question, we have conducted a study to investigate human behavior in interaction selection and to investigate the ability of humans to form efficient networks. In order to limit the degree of problem understanding necessary by the study participants, we have introduced the problem as an online game. 193 subjects joined the study that was online for 67 days. One result is that subjects choose contacts strategically and that they use strategies that lead to cooperative and almost efficient systems. Surprisingly, subjects tend to overestimate the value of cooperative contacts and keep cooperative but costly contacts. This observation is important: Assisting agents that help subjects to avoid this behavior might yield more efficiency.
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