---
title: "Towards Action Prediction Using a Mental-Level Model"
authors:
  - "Ronen I. Brafman"
  - "Moshe Tennenholtz"
doi: ""
url: "https://ijcai.org/proceedings/1995/258"
pdf: "https://ijcai.org/proceedings/1995/0258.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "2010-2015"
track: "Temporal Reasoning"
keywords:
---

# Towards Action Prediction Using a Mental-Level Model

Ronen I. Brafman, Moshe Tennenholtz

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, pages 2010-2015.

## Abstract

We propose a formal approach to the problem of prediction based on the following steps: First, a mental-level model is constructed based on the agent's previous actions; next, the model is updated to account for any new observations by the agent, and finally, we predict the optimal action w.r.t . the agent's mental state as its next action. This paper formalizes this prediction process. In order to carry out this process, we need to understand how a mental state can be ascribed to an agent and how this mental state should be updated. In [Brafman and Tennenholtz, 1994b], we examined the first stage. Here we investigate a particular update operator and show that its ascription requires making only weak modeling assumptions.