The book is a comprehensive textbook that provides an in-depth exploration of the field of artificial intelligence (AI). It covers the fundamental concepts, methodologies, and applications of AI, presenting a balanced view of theory and practice. The book is structured into several key sections: Problem-solving and search algorithms: Explores strategies for decision-making, optimization, and finding solutions in complex environments. Knowledge representation and reasoning: Discusses logical frameworks and how AI systems can represent and process information. Machine learning: Covers supervised, unsupervised, and reinforcement learning techniques that enable systems to learn from data. Planning and acting: Details how AI can formulate and execute plans in dynamic environments. Uncertainty and probabilistic reasoning: Introduces concepts like Bayesian networks and probabilistic inference. Natural language processing: Explores AI's role in understanding and generating human language. Robotics and perception: Discusses how AI interacts with the physical world through sensors and actuators. The book also examines the ethical implications of AI and its potential societal impacts. With its comprehensive approach and clarity, it serves as an essential resource for students, researchers, and professionals aiming to understand and apply AI.

Mã ngôn ngữ:	eng
Chỉ số phân loại:	006.3
Tác giả:	Russell, Stuart J Peter, Noring
Thông tin nhan đề:	Artificial intelligence: A modern approach
Xuẩt bản,phát hành:	Malaysia. Pearson 2016
Mô tả vật lý:	1131p.
Từ khóa:	Artificial intelligence

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