Meaningful Long-Term Thought Partnerships of Minds and Machines

Read full text
Authors: K. Collins, Lionel Wong, Joshua B. Tenenbaum, Judith E. Fan
Cited by: 1
References: 21

Abstract

Many innovations have come from people working together as partners in thought. These partnerships, however, are not restricted to single encounters. Some of the most meaningful collaborations evolve over weeks, months, or even lifetimes. What are the core computations that enable long-term thought partnerships? Prior work in cognitive science has made initial progress by investigating how people construct mental models of their partners on the fly, establish common ground using language and other modalities, and generate joint plans that lead to successful outcomes. However, it remains unknown what cognitive mechanisms enable such interactions to evolve into genuine partnerships over longer timescales, especially under measures of success that extend beyond task performance. Theoretical and empirical progress on these issues could be instrumental for defining and designing AI systems that may even be capable of establishing long-term thought partnerships with humans. This article outlines several promising avenues for leveraging approaches from cognitive science and AI to study enriching intellectual partnerships.

Fields of Study & Subjects

Embodied and Extended Cognition Persona Design and Applications AI in Service Interactions

Publication details

Journal / source
Current Directions in Psychological Science
Publisher
SAGE Publications
Volume
35
Issue
3
Pages
185–192
Publication date
30 March 2026
Language
EN