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Volume 2 continues the series? mission of documenting the state of AI research at the dawn of the 1980s, shifting from foundational concepts to applied AI systems and domain?specific methodologies. It emphasizes the architecture, reasoning strategies, and knowledge?engineering practices behind early expert systems. The volume surveys influential systems in medicine, chemistry, engineering, and natural language understanding, explaining how rule?based reasoning, frames, semantic networks, and production systems were implemented in real-world prototypes. It also examines the practical challenges of knowledge acquisition, system brittleness, explanation facilities, and performance constraints. As a historical artifact, Volume 2 captures the optimism and technical rigor of the first expert?system boom. Volume 3 expands the series into advanced AI techniques, theoretical frameworks, and cumulative reference material, including the extensive bibliography and index noted in your image. This volume focuses on planning, problem?solving strategies, machine learning foundations, and formal models of reasoning. It documents the evolution of search strategies, constraint satisfaction, and early learning paradigms, while also cataloging major AI systems and research groups active up to 1982. The dedication to Allen Newell and Arthur Samuel signals the volume?s emphasis on cognitive architectures and machine learning?s early lineage. As the capstone of the set, Volume 3 serves both as a technical survey and a historical snapshot of AI?s intellectual landscape before the statistical revolution. Hard cover edition. Published by William Kauffman, Inc., California. 1st printing, 1982. Gray binding. 5 Pound Media Shipping Rate with Multiple Product Orders. (Min Shipping Rate 1 Pound per Order). Order More and SAVE! Genre(s): Computer Science / Science & Technology / Artificial Intelligence / English. (B109).
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