---
title: "A Model of Events and Processes"
authors:
  - "Periklis Belegrinos"
  - "Michael P. Georgeff"
doi: ""
url: "https://ijcai.org/proceedings/1991/76"
pdf: "https://ijcai.org/proceedings/1991/0076.pdf"
venue: "Proceedings of the Twelfth International Joint Conference on Artificial Intelligence"
year: 1991
pages: "506-510"
track: "Knowledge Representation"
keywords:
---

# A Model of Events and Processes

Periklis Belegrinos, Michael P. Georgeff

*Proceedings of the Twelfth International Joint Conference on Artificial Intelligence*, pages 506-510.

## Abstract

The aim of this paper is to provide a basis for a theory of events and processes that can be used for reasoning about arbitrarily complex dynamic domains involving multiple agents. The approach is based on a model of events that explicitly represents the domain of influence of each event. By scoping an event's domain of influence, most of the problems that have plagued the more conventional stated-transition models of events can be avoided. The effect of performing events, either in isolation or concurrently with other events, is described. To represent constraints among events, a model of processes is developed. This allows the modelling of arbitrarily complex behaviours. Finally, a representation of causal influence is provided that allows the ramifications of any given event occurrence to be modelled.