Artificial Intelligence – Foundations of Computational Agents Second Edition
Artificial Intelligence – Foundations of Computational Agents Second Edition is an essential guide for anyone interested in the fundamental principles of artificial intelligence (AI) and how to build intelligent agents.
The book provides an in-depth introduction to the key concepts and techniques of AI, from problem-solving and decision-making to natural language processing and computer vision. It explores the foundational aspects of computational agents and how they can be applied to a range of real-world problems, such as search and optimization, robotics, and game playing.
The second edition of Artificial Intelligence – Foundations of Computational Agents has been updated to reflect the latest developments in the field. It includes new chapters on machine learning and deep learning, as well as expanded coverage of topics such as reinforcement learning and Bayesian networks. The book also provides a comprehensive overview of the ethical considerations surrounding AI, including issues related to bias, privacy, and accountability.
One of the unique features of this book is its focus on computational agents as the foundation of AI. The authors emphasize the importance of designing agents that can interact with their environment and make decisions based on their observations. They also provide detailed discussions of the different types of agents, including reactive, deliberative, and hybrid agents.
The book is written in a clear and accessible style, with numerous examples and exercises to reinforce the concepts presented. It is an ideal textbook for undergraduate and graduate courses in AI, as well as a valuable reference for researchers and practitioners in the field.
Overall, Artificial Intelligence – Foundations of Computational Agents Second Edition is a comprehensive and authoritative guide to the principles and practices of AI. It provides a solid foundation for anyone interested in understanding how intelligent agents can be designed and implemented to solve real-world problems.
