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迈向社交主体中高阶心理理论的计算模型。

Towards a computational model for higher orders of Theory of Mind in social agents.

作者信息

Tavella Federico, Manzi Federico, Vinanzi Samuele, Di Dio Cinzia, Massaro Davide, Cangelosi Angelo, Marchetti Antonella

机构信息

Manchester Centre for Robotics and AI, The University of Manchester, Manchester, United Kingdom.

Department of Computer Science, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.

出版信息

Front Robot AI. 2024 Oct 2;11:1468756. doi: 10.3389/frobt.2024.1468756. eCollection 2024.

Abstract

Effective communication between humans and machines requires artificial tools to adopt a human-like social perspective. The Theory of Mind (ToM) enables understanding and predicting mental states and behaviours, crucial for social interactions from childhood through adulthood. Artificial agents with ToM skills can better coordinate actions, such as in warehouses or healthcare. Incorporating ToM in AI systems can revolutionise our interactions with intelligent machines. This proposal emphasises the current focus on first-order ToM models in the literature and investigates the potential of creating a computational model for higher-order ToM.

摘要

人与机器之间的有效沟通需要人工工具采用类似人类的社会视角。心理理论(ToM)能够理解和预测心理状态及行为,这对于从童年到成年的社会互动至关重要。具备心理理论技能的智能体能够更好地协调行动,比如在仓库或医疗保健领域。将心理理论融入人工智能系统能够彻底改变我们与智能机器的交互方式。本提案强调了当前文献中对一阶心理理论模型的关注,并探讨创建高阶心理理论计算模型的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afad/11479858/ca2334973d30/frobt-11-1468756-g001.jpg

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