THE ROLES OF NEURAL AND EVOLUTIONARY COMPUTING IN INTELLIGENT SOFTWARE SYSTEMS

This paper describes two computing paradigms known as neural computing and evolutionary computing, and their potential contribution to build ing intelligent software systems. The paper begins by giving a brief i ntroduction to the origins of each paradigm. Then two sections introdu ce the basic principles, and identified, the role of each paradigm in intelligent system design. Each section ends with a number of applicat ions that have been or are being investigated. These include connectio n admission control, modem communication, adaptive model-based control , face and handwriting recognition, frequency assignment, help-desk sc heduling, financial time-series prediction, face recognition and evolv ing agent behaviour. ii section introduces the idea of using communica tions theory to design neural networks and the paper concludes with th e authors' views on the future of neural and evolutionary computing fo r intelligent software systems.