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知己知彼:人工智能中的心理理论。

Knowing me, knowing you: theory of mind in AI.

机构信息

School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, UK.

Universita' degli Studi Suor Orsola Benincasa, Naples, Italy.

出版信息

Psychol Med. 2020 May;50(7):1057-1061. doi: 10.1017/S0033291720000835. Epub 2020 May 7.

DOI:10.1017/S0033291720000835
PMID:32375908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7253617/
Abstract

Artificial intelligence has dramatically changed the world as we know it, but is yet to fully embrace 'hot' cognition, i.e., the way an intelligent being's thinking is affected by their emotional state. Artificial intelligence encompassing hot cognition will not only usher in enhanced machine-human interactions, but will also promote a much needed ethical approach. Theory of Mind, the ability of the human mind to attribute mental states to others, is a key component of hot cognition. To endow machines with (limited) Theory of Mind capabilities, computer scientists will need to work closely with psychiatrists, psychologists and neuroscientists. They will need to develop new models, but also to formally define what problems need to be solved and how the results should be assessed.

摘要

人工智能已经极大地改变了我们所熟知的世界,但尚未完全接受“热认知”,即智能生物的思维方式受到其情绪状态的影响。包含热认知的人工智能不仅将迎来增强的人机交互,还将推动急需的伦理方法。心智理论,即人类思维将心理状态归因于他人的能力,是热认知的关键组成部分。为了赋予机器(有限的)心智理论能力,计算机科学家将需要与精神科医生、心理学家和神经科学家密切合作。他们不仅需要开发新模型,还需要正式定义需要解决的问题以及如何评估结果。

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本文引用的文献

1
Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.为自闭症谱系障碍儿童进行长期居家社会辅助机器人干预的参与模式建模。
Sci Robot. 2020 Feb 26;5(39). doi: 10.1126/scirobotics.aaz3791.
2
Deep neural networks in psychiatry.精神病学中的深度神经网络。
Mol Psychiatry. 2019 Nov;24(11):1583-1598. doi: 10.1038/s41380-019-0365-9. Epub 2019 Feb 15.
3
Machine learning in mental health: a scoping review of methods and applications.机器学习在精神健康领域的应用:方法和应用的范围综述。
Psychol Med. 2019 Jul;49(9):1426-1448. doi: 10.1017/S0033291719000151. Epub 2019 Feb 12.
4
Clinically applicable deep learning for diagnosis and referral in retinal disease.临床适用的深度学习在视网膜疾病的诊断和转诊中的应用。
Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13.
5
Anticipating Human Activities Using Object Affordances for Reactive Robotic Response.使用物体功能来预测人类活动,以实现机器人的反应式响应。
IEEE Trans Pattern Anal Mach Intell. 2016 Jan;38(1):14-29. doi: 10.1109/TPAMI.2015.2430335.
6
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines.计算理性:大脑、心智和机器智能的趋同范式。
Science. 2015 Jul 17;349(6245):273-8. doi: 10.1126/science.aac6076. Epub 2015 Jul 16.
7
Deep learning.深度学习。
Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.
8
Human-level control through deep reinforcement learning.通过深度强化学习实现人类水平的控制。
Nature. 2015 Feb 26;518(7540):529-33. doi: 10.1038/nature14236.
9
Mirror neurons and the simulation theory of mind-reading.镜像神经元与心理解读的模拟理论。
Trends Cogn Sci. 1998 Dec 1;2(12):493-501. doi: 10.1016/s1364-6613(98)01262-5.
10
Game theory of mind.心理博弈论
PLoS Comput Biol. 2008 Dec;4(12):e1000254. doi: 10.1371/journal.pcbi.1000254. Epub 2008 Dec 26.