google-site-verification: google23a648ff4753ef2f.html

Master AI Fundamentals: Dive Into ‘Foundations of Computational Agents’ and Unleash Your Potential!

AI Fundamentals


The world of artificial intelligence (AI) is as fascinating as it is complex. In this review, we explore “Artificial Intelligence: Foundations of Computational Agents” by David L. Poole and Alan K. Mackworth. This book takes an AI fundamentals approach, and we’ll uncover its significance, content, and the insights it offers to those seeking a deep understanding of AI principles.

Name of the book: “Artificial Intelligence: Foundations of Computational Agents”
Format available: The book is available in both hardcover and as a free online e-book, making it accessible to a wide range of readers.
Authors: David L. Poole and Alan K. Mackworth, esteemed figures in the field of AI and computer science, collaborated to create this valuable resource.
Language Available In: The book is primarily available in English, ensuring accessibility to a global audience.
Number of Pages: Spanning approximately 660 pages, it offers an extensive exploration of AI fundamentals.
Book’s Significance: “Foundations of Computational Agents” holds significant importance as it takes a comprehensive and foundational approach to AI. It serves as an essential resource for students, researchers, and practitioners interested in understanding the core principles and algorithms that underlie artificial intelligence.
Genre: This book belongs to the genres of Non-fiction, Computer Science, and Artificial Intelligence.
ISBN: The book is freely available online, so an ISBN may not be applicable.
Publisher: The book is not associated with a traditional publisher as it is available as a free online resource.
Publishing Date: While there isn’t a specific publishing date, the book has been continuously updated, and the online version remains current.
Average Rating: As a freely available online resource, it may not have traditional ratings. However, it is highly regarded within the AI education community.



“Artificial Intelligence: Foundations of Computational Agents” provides a comprehensive introduction to the fundamental concepts and techniques in artificial intelligence. It covers a wide range of topics, from problem-solving and reasoning to machine learning and decision making. The book combines theoretical insights with practical examples, making it suitable for both beginners and those with prior AI fundamentals knowledge.

3 Major Learnings


1. Foundations of AI: The book lays a solid AI fundamentals, covering topics like problem-solving, knowledge representation, reasoning, and learning algorithms.
2. Decision Making: It delves into the principles of decision making under uncertainty, a crucial aspect of AI fundamentals in real-world applications.
3. Agent-Based AI: The book introduces the concept of computational agents and how they interact with their environment, a core idea in AI fundamentals.

3 Famous Paragraphs


1. “Artificial Intelligence (AI) has a long history but is still one of the most actively growing and changing fields in computer science. It is the study of how to make computers do things that, at the moment, people do better.”
2. “In essence, AI is the attempt to answer a simple question: can a machine be made to think like a person?”
3. “The key question is not ‘can a computer think?’ but ‘can a computer do what we (as thinking entities) can do?'”

3 Hidden Facts


1. David L. Poole and Alan K. Mackworth generously offer the entire book as a free online resource, making it accessible to anyone interested in AI foundations.
2. The online version of the book is continuously updated, reflecting the evolving landscape of AI.
3. The book’s focus on computational agents and foundational concepts makes it an ideal resource for educators, and it is widely used in AI courses.

3 Books to Similar Works in the Same Genre


1. “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig
2. “Artificial Intelligence: Structures and Strategies for Complex Problem Solving” by George F. Luger
3. “Artificial Intelligence: A Systems Approach” by Michael Negnevitsky

Frequently Asked Questions


Is this book suitable for beginners in AI Fundamentals?

Yes, it is accessible to beginners and provides a solid foundation in AI fundamentals and principles.

How much does the book cost?

The book is available for free online, making it an excellent resource for self-learners and students.

Is the online version continuously updated?

Yes, the online version is regularly updated to keep the content current with the latest developments in AI.

Link to Access the Book


You can access “Artificial Intelligence: Foundations of Computational Agents” for free online through the official website. This resource is generously provided by the authors for educational purposes.

Know More


“The Carrot Principle: How the Best Managers Use Recognition to Engage Their People, Retain Talent, and Accelerate Performance” by Adrian Gostick and Chester Elton



“Artificial Intelligence: Foundations of Computational Agents” is a comprehensive textbook written by David L. Poole and Alan K. Mackworth. It provides a thorough introduction to the AI fundamentals, concepts and principles from a computational perspective.

The book covers a wide range of topics related to AI Fundamentals, including:

  1. Intelligent agents: Discusses the design and structure of intelligent agents, their perception of the environment, and their decision-making processes.
  2. Problem-solving: Addresses various problem-solving techniques and algorithms used in AI, such as search algorithms, game playing, and constraint satisfaction problems.
  3. Knowledge representation and reasoning: Explores how AI systems represent knowledge and make inferences based on that knowledge using logic, reasoning, and probabilistic methods.
  4. Planning and acting: Covers planning and decision-making processes, including different planning algorithms and approaches to decision-making under uncertainty.
  5. Learning: Discusses machine learning algorithms, supervised and unsupervised learning, reinforcement learning, and other learning paradigms.
  6. Perception: Explores topics related to computer vision, natural language processing, and speech recognition.
  7. Multi-agent systems: Discusses interactions and cooperation between multiple intelligent agents, including game theory and negotiation.

This textbook is intended for undergraduate and graduate students studying artificial intelligence and can also be a valuable resource for researchers and practitioners in the field. It provides a solid foundation in AI fundamentals, concepts and techniques, making it a useful reference for anyone interested in understanding and working with artificial intelligence.

Like this article?

Share on Facebook
Share on Twitter
Share on Linkdin
Share on Pinterest

Leave a comment

About Us

Our mission is to empower HR professionals, managers, and employees with valuable knowledge, expert advice, and practical resources to foster a thriving workplace culture. Through a blend of in-depth articles, real-world case studies, and thought-provoking discussions, we aim to bridge the gap between theory and practice in the world of Human Resources.

We are here to guide you on your journey toward creating a more productive, inclusive, and people-centric workplace.

©2023, HR World. All rights reserved.

Scroll to Top