Group Cognition and Collaborative AI
Group Cognition and Collaborative AI
复制标题
群体认知与协作人工智能
DOI：
10.1007/978-3-319-90403-0_15
复制
发表时间：
2018
影响因子：
3.8
通讯作者：
Antti Oulasvirta
中科院分区：
文献类型：
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作者：
Janin Koch;Antti Oulasvirta
人工智能的重大进步表明，在不久的将来，我们将定期使用智能代理。本章讨论将群体认知作为设计协作式人工智能的原则。群体认知是与其他群体成员的决策、能力和信念相联系的能力。因此，它使参与者能够调整他们的理解和行动，以实现共同目标。因此，它为合作奠定了基础。我们在群体认知的背景下回顾了两个概念，它们可能会为人工智能和自动化的发展提供信息，以追求与人类的自然合作：对话基础和心理理论。这些概念与人工智能研究中已经讨论的概念有些不同。我们概述了协作人工智能的一些新影响，旨在扩展技能和解决方案空间，并提高联合认知和创造能力。
Significant advances in artificial intelligence suggest that we will be using intelligent agents on a regular basis in the near future. This chapter discusses group cognition as a principle for designing collaborative AI. Group cognition is the ability to relate to other group members’ decisions, abilities, and beliefs. It thereby allows participants to adapt their understanding and actions to reach common objectives. Hence, it underpins collaboration. We review two concepts in the context of group cognition that could inform the development of AI and automation in pursuit of natural collaboration with humans: conversational grounding and theory of mind. These concepts are somewhat different from those already discussed in AI research. We outline some new implications for collaborative AI, aimed at extending skills and solution spaces and at improving joint cognitive and creative capacity.
DOI：
--
发表时间：
2000
期刊：
--
影响因子：
--
作者：
Dan Jurafsky;James H. Martin
通讯作者：
Dan Jurafsky;James H. Martin