Artificial Intelligence Theories: Application to CommonKAD Methodology

Abstract

Theories are required for artificial intelligence (AI) to make greater progress. Despite the development of several AI theories, their use is minimal and their nature is not widely known. An analogy with software engineering theories was used to analyze kernel, genetic, design decision, task, and AI innovation theories to determine their nature and characteristics. These theories were then applied to the CommonKAD methodology in AI to explore how they could improve the methodology, potentially contributing to the evolution of AI theories and increasing their application.