Statistical Computing and Graphics via R Programming

Description

“Artificial Intelligence and Logic Programming: An Integrated View” offers a comprehensive exploration of modern AI, designed for college-level students. This essential textbook begins with a foundational understanding of intelligent agents and traces the significant advancements and transformations shaping the field.

Students will delve into core AI research, mastering concepts from speech recognition and natural language processing to the intricacies of neural networks, including Adaptive Resonance Theory, and genetic algorithms. A unique strength lies in its deep dive into logic programming, revealing its power in knowledge representation, approximate reasoning, and fuzzy logic. The book also illuminates the crucial role of planning techniques in AI system development. By integrating these diverse topics, this text provides a holistic perspective, preparing students to tackle complex AI challenges and innovate within this rapidly evolving discipline.

Wells Newman, holding dual degrees, brings extensive expertise in intelligent agents, natural language processing, and advanced AI methodologies. They are a dedicated educator, committed to mentoring the next generation of AI researchers.