Getting to know each other - Artificial social intelligence for autonomous robots

Getting to know each other - Artificial social intelligence for autonomous robots
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DOI:
10.1016/0921-8890(95)00054-2
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发表时间:
1995-12-01
影响因子:
4.3
通讯作者:
Dautenhahn, K
Dautenhahn, K
中科院分区:
计算机科学3区
文献类型:
--
作者:
Dautenhahn, K

文献摘要

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本文提出了一个研究方向,研究自主机器人的“人工社会智能”的发展,应导致“个性化的机器人社会”。这种方法受到“社会智力假说”的启发,该假说来自对灵长类社会的调查,表明灵长类智力最初是为了解决社会问题而进化的,后来才扩展到社会领域之外的问题。我们认为,这可能是智能进化的一般原则,适用于自然和人工系统。争论提出为什么社会智能的文物的调查不仅是一个有趣的研究问题的生物学原理的研究,但可能是一个必要的先决条件,自主机器人集成到人类社会中的场景,互动和沟通与人类和彼此。作为实验研究机器人“社会关系”发展的起点,提出了通过模仿的方式收集和使用身体图像的研究。一个具体的实验装置,我们用来测试的理论考虑。本文概述了在什么样的应用程序和什么样的机器人组结构的社会智能可能是有利的。
This paper proposes a research direction to study the development of 'artificial social intelligence' of autonomous robots which should result in 'individualized robot societies'. The approach is highly inspired by the 'social intelligence hypothesis', derived from the investigation of primate societies, suggesting that primate intelligence originally evolved to solve social problems and was only later extended to problems outside the social domain. We suggest that it might be a general principle in the evolution of intelligence, applicable to both natural and artificial systems. Arguments are presented why the investigation of social intelligence for artifacts is not only an interesting research issue for the study of biological principles, but may be a necessary prerequisite for those scenarios in which autonomous robots are integrated into human societies, interacting and communicating both with humans and with each other. As a starting point to study experimentally the development of robots' 'social relationships', the investigation of collection and use of body images by means of imitation is proposed. A specific experimental setup which we use to test the theoretical considerations is described. The paper outlines in what kind of applications and for what kind of robot group structures social intelligence might be advantageous.