AI Introduction

Abstract

AI as a field has undergone rapid growth in diversification and practicality. For the past 10 years, the repertoire of AI techniques has evolved and expanded. Scores of newer fields have recently been added to the traditional domains of practical AI. Although much practical AI is still best characterized as advanced computing rather than intelligence, applications in everyday commercial and industrial settings have certainly increased, especially since 1990. Additionally, AI has shown a growing influence on other computer science areas, such as data-bases, software engineering, distributed computing, computer graphics, user interfaces, and simulation. With help from experts, I have selected promising or rapidly emerging areas of AI. The issue is divided into the following three sections: Large-scale AI and the Commonsense Problem The commonsense problem has been a key problem since the beginning of AI, and it is likely to continue to be so well into the next century. The problem is essential