---
title: "Belief Functions for Real-Time Script Processing"
authors:
  - "Philip Schaefer"
doi: ""
url: "https://ijcai.org/proceedings/1987/99"
pdf: "https://ijcai.org/proceedings/1987/0099.pdf"
venue: "Proceedings of the Tenth International Joint Conference on Artificial Intelligence"
year: 1987
pages: "502-507"
track: "Knowledge Representation"
keywords:
---

# Belief Functions for Real-Time Script Processing

Philip Schaefer

*Proceedings of the Tenth International Joint Conference on Artificial Intelligence*, pages 502-507.

## Abstract

Real-time situation understanding is a difficult problem, in that decisions must be made on a continuous basis with continuously changing data. An attractive approach to the problem is to match the current data set to a memory of script-like structures. Partial matching to scripts enables powerful understanding and prediction, but requir e s robust uncertainty mechanisms to overcome inherent ambiguity and error. Although powerful uncerta i nt y techniques dealing with time-relevant dat e have developed, little with regard to implications of the real-time problem has presented. for been the been This paper discusses some of the special requirements for a real-time script belief function, and presents a der i vation of such a function. Finally, examples demonstrating the characteristics of the Script Belief function are provided.