Emerging Theories and Concepts in Artificial Intelligence

“This book serves as a gateway for readers to grasp the scientific and technological foundations behind artificial intelligence (AI) and its pervasive influence in our daily lives. Emerging Theories and Concepts in Artificial Intelligence addresses two fundamental questions that shape the discourse on AI: Should AI strive to replicate human-like functions, or should it enhance our abilities through machine performance? Additionally, can we truly comprehend how our brain and body operate to inform AI development?

These inquiries align with the two primary approaches in AI: classical artificial intelligence and machine learning (ML). Since the 1960s, classical AI has aimed to mimic human reasoning through logic and representation. In contrast, ML is a more recent and distinct approach, focusing on statistical patterns rather than human-like thought processes.

The book emphasizes that purely logical AI cannot replicate the nuances of human cognition. Designed for students, it breaks down complex concepts into accessible explanations, ensuring a comprehensive understanding of AI’s evolving theories and practices. This book is a valuable resource for anyone eager to delve into the world of artificial intelligence and its implications for the future.”