Artificial Intelligence and Expert Systems (eBook)
424 Seiten
Packt Publishing (Verlag)
978-1-83664-344-9 (ISBN)
This book covers current AI applications and techniques for solving problems and accomplishing tasks. It introduces branches of AI such as formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic. It emphasizes expert systems, with sections on state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog.
It begins with an introduction to AI and its applications, setting the stage for foundational concepts. Readers are guided through state space search and heuristic search strategies, crucial for problem-solving in AI. The focus shifts to expert systems, covering their development life cycle, knowledge acquisition, and representation, providing a deep dive into emulating human decision-making.
Later chapters cover neural networks and the learning process, essential for creating adaptive systems. Sections on fuzzy logic and fuzzy systems introduce methods for handling uncertainty in AI. Final chapters on programming in logic and advanced Prolog offer practical techniques for AI solutions. This approach equips readers with the skills to apply AI in various domains, enhancing their problem-solving abilities and understanding of intelligent systems.
Discover the world of AI and expert systems with in-depth coverage of essential concepts, techniques, and applications. Ideal for learners seeking to master the fundamentals and advanced topics of AI.Key FeaturesComprehensive coverage of AI and expert systemsDetailed explanations and practical applicationsAdvanced topics like neural networks and fuzzy logicBook DescriptionThis book covers current AI applications and techniques for solving problems and accomplishing tasks. It introduces branches of AI such as formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic. It emphasizes expert systems, with sections on state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog. It begins with an introduction to AI and its applications, setting the stage for foundational concepts. Readers are guided through state space search and heuristic search strategies, crucial for problem-solving in AI. The focus shifts to expert systems, covering their development life cycle, knowledge acquisition, and representation, providing a deep dive into emulating human decision-making. Later chapters cover neural networks and the learning process, essential for creating adaptive systems. Sections on fuzzy logic and fuzzy systems introduce methods for handling uncertainty in AI. Final chapters on programming in logic and advanced Prolog offer practical techniques for AI solutions. This approach equips readers with the skills to apply AI in various domains, enhancing their problem-solving abilities and understanding of intelligent systems.What you will learnUnderstand AI concepts and terminologyApply AI techniques to real-world problemsDevelop expert systemsExplore neural networks and their applicationsUtilize fuzzy logic for problem-solvingLearn logic programming with PrologWho this book is forThis book is ideal for students, professionals, and enthusiasts in AI and computer science. A basic understanding of programming and computer science principles is recommended. No prior knowledge of AI is required, though familiarity with basic programming concepts will be beneficial.]]>
| Erscheint lt. Verlag | 23.7.2024 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-83664-344-6 / 1836643446 |
| ISBN-13 | 978-1-83664-344-9 / 9781836643449 |
| Haben Sie eine Frage zum Produkt? |
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