Relevance-Derived Metafunction: How to Interface Intelligent System's Sub-Components

Abstract

This paper introduces a relevance-derived metafunction capable of inducing smooth integration between Goals, Plans, plan Elements, Agents, and world Models. It provides the top level architecture of an intelligent system that utilises the metajkction, and describes a prototype: GEPAM (Goals. Elements, Plans, Agents, Models) , which implements some of its aspects. The advantages of capturing the notion of relevance in process oriented terms for the purpose of integrating an intelligent system’s sub-components are discussed and directions for future research and development are indicated.