Understanding Theory of Mind should begin with an analysis of the problems it solves. The
traditional answer is that Theory of Mind is used for predicting others' thoughts and actions …

Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks
previously thought to be uniquely human. Meanwhile, the planning algorithms implemented …

Human behavior emerges from planning over elaborate decompositions of tasks into goals,
subgoals, and low-level actions. How are these decompositions created and used? Here …

The central theme of this review is the dynamic interaction between information selection
and learning. We pose a fundamental question about this interaction: How do we learn what …

Those designing autonomous systems that interact with humans will invariably face
questions about how humans think and make decisions. Fortunately, computational …

Research on causal cognition has largely focused on learning and reasoning about
contingency data aggregated across discrete observations or experiments. However, this …

The advent of large language models (LLMs) has opened up new opportunities in the field
of mobile task automation. Their superior language understanding and reasoning …

Though LLMs are capable of generating plausible programs, it's challenging to interact with
the LLMs further to revise the program, especially if the user's specific requirements are …

Goal‐directed behavior is a deeply important part of human psychology. People constantly
set goals for themselves and pursue them in many domains of life. In this paper, we develop …

People's planning strategies are astonishingly well adapted to the varied and complex
challenges they face daily. Where do those adaptive strategies come from? Do people …