Analyzing Human Decision Making Process with Intention Estimation using Cooperative Pattern Task
Analyzing Human Decision Making Process with Intention Estimation using Cooperative Pattern Task
复制标题
使用合作模式任务进行意图估计来分析人类决策过程
DOI：
10.1007/978-3-319-63703-7_23
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Yoshiyasu Takefuji
中科院分区：
文献类型：
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作者：
Kota Itoda;Norifumi Watanabe;Yoshiyasu Takefuji
实现人类与社会机器人或智能体的柔性协作群体行为，需要相互理解参与者的每个意图或行为。要理解群体行为中的合作智力，必须明确多人意图估计的决策过程。多人决策过程基于每个参与者的行为进行意图推理和修正，实现自上而下的意图共享和自下而上的决策。本研究提出了合作模式任务，该任务侧重于注意他人的选择过程，平衡每个意图的过程，以达到共同的目的。在一个抽象的协作环境中，主体以非语言的方式相互交流，并根据自己的行为来推断自己的意图，以达到目的。我们分析了人类受试者的行为，阐明了他们的行为策略和概念，假设每个受试者都有相同的行为和概念，以防止对每个意图的误解。通过实验得到了两个主要结果。首先，在最小步骤中基于目的的最佳行为防止了对每个意图的误解。第二，缩小了改变政策的主体数量，假设减少了意图推理的负担。
Realizing flexible cooperative group behavior of human and social robots or agents needs a mutual understanding of each intention or behaviors of participants. To understand cooperative intelligence in group behavior, we must clarify the decision-making process with intention estimation in multiple persons. Multi-people decision-making process have top-down intention sharing and bottom-up decision making based on the intention inference and amendment based on the each participants’ behavior. This study suggests the cooperative pattern task focusing on the selection process of others whom to be noticed and balancing process of each intention to achieve the shared purpose. In the 2D grid world of an abstract cooperative environment with restricted modality of subjects, they communicate with each other in a nonverbal way and infer their intention based on their behavior to achieve the purpose. We analyzed the human subjects’ behavior and clarified their policy of behavior and concepts which assumed to be shared by each subject for preventing misunderstanding of each intention. Two main results were obtained through the experiment. First, optimal behavior based on the purpose in minimal steps prevent the misunderstanding of each intention. Second, the narrowing down the number of subjects who change their policy assumed to reduce the burden of intention inference.