  Theory of Mind (ToM) is the ability to understand human thinking and
decision-making, an ability that plays a crucial role in social interaction
between people, including linguistic communication. This paper investigates to
what extent recent Large Language Models in the ChatGPT tradition possess ToM.
We posed six well-known problems that address biases in human reasoning and
decision making to two versions of ChatGPT and we compared the results under a
range of prompting strategies. While the results concerning ChatGPT-3 were
somewhat inconclusive, ChatGPT-4 was shown to arrive at the correct answers
more often than would be expected based on chance, although correct answers
were often arrived at on the basis of false assumptions or invalid reasoning.
