Learning Ownership based on Theory of Mind

Zian Wang, Zhihao Cao

Keywords: project, ToM, ownership

Abstract: Social norms are a significant part of human society. It is impossible for our agents to interact with humans in social environments if they are not able to understand and conform to social norms. Ownership is an essential part of social norms. The concept of territory, company, and property is all based on ownership. Recent works represent and infer ownership using simple inference, or represent it with a probabilistic graph and infer it using predicate-based norms. However, they all link ownership with action rather than intent, ignoring agents' mental states. This paper presents a Theory-of-Mind (ToM) based model capable of simulating agents' change of intention based on ownership. With the given intention, our agents can choose different actions based on the state of the world. By combining ownership with intention rather than directly with action, we can study how agents' mental states will change with the understanding of ownership, which can give our agents a stronger generalization ability.

TL;DR: Present a Theory-of-Mind (ToM) based model capable of simulating agents’ change of intention based on ownership.