合作情报的个人伙伴代理

Kotaro Funakoshi, Hideaki Shimazaki, T. Kumada, H. Tsujino
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引用次数: 4

摘要

我们提倡在复杂和动态的环境中,通过与其他智能体(尤其是人类)的合作来实现其目标的合作智能(CI)。CI之所以重要,是因为它在完成广泛的任务时提供了更好的性能;此外,合作是人类智力的关键,合作的过程可以帮助人们获得多种人生价值。本文讨论了持续集成的要素和我们的研究方法。我们确定了CI的四个方面:适应性智能、集体智能、协调智能和协作智能。我们还采取了一种专注于以个人伙伴代理(PPAs)形式实现协调智能的方法,并考虑设计我们的机器人研究平台来物理地实现PPAs。
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Personal Partner Agents for Cooperative Intelligence
We advocate cooperative intelligence (CI) that achieves its goals in cooperating with other agents, particularly human beings, with limited resources but in complex and dynamic environments. CI is important because it delivers better performances in achieving a broad range of tasks; furthermore, cooperativeness is key to human intelligence, and the processes of cooperation can contribute to help people gain several life values. This paper discusses elements in CI and our research approach to CI. We identify the four aspects of CI: adaptive intelligence, collective intelligence, coordinative intelligence, and collaborative intelligence. We also take an approach that focuses on the implementation of coordinative intelligence in the form of personal partner agents (PPAs) and consider the design of our robotic research platform to physically realize PPAs.
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