Evaluating Large Language Models in Theory of Mind Tasks
Eleven Large Language Models (LLMs) were assessed using a custom-made battery of false-belief tasks, considered a gold standard in testing Theory of Mind (ToM) in humans. The battery included 640 prompts spread across 40 diverse tasks, each one including a false-belief scenario, three closely matched true-belief control scenarios, and the reversed versions of all four. To solve a single task, a mo
Machine Theory of Mind
Theory of mind (ToM; Premack & Woodruff, 1978) broadly refers to humans' ability to represent the mental states of others, including their desires, beliefs, and intentions. We propose to train a machine to build such models too. We design a Theory of Mind neural network -- a ToMnet -- which uses meta-learning to build models of the agents it encounters, from observations of their behaviour alone.
The neural bases of social cognition and st... [Annu Rev Psychol. 2011] - PubMed - NCBI
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https://www.jstage.jst.go.jp/article/processthought/22/0/22_64/_pdf/-char/ja/
Frontiers | Mind as a Behavioral Inhibition Network
A Secure Base from Which to Explore Close Relationships | Request PDF
jsai2014:2J1-1 食べる動作を行うロボットが人間に与える印象についての研究
Does The Design Of A Robot Influence Its Animacy and Perceived Intelligence?
エージェンシー認知を誘発するコンピュータとのインタラクションと人らしさの帰属