The book "Processing unreliable knowledge in CLIPS" by Grigoriev is a fascinating and in-depth study in the field of artificial intelligence and knowledge systems, which will be a real find for students, researchers and practitioners in this field. If you are interested in how to work effectively with incomplete or conflicting data, this book will become an indispensable source of knowledge and practical recommendations for you. The author, Grigoriev, masterfully immerses the reader in the world of CLIPS (C Language Integrated Production System), a system designed to create expert systems. In his book, he not only explains the basic principles of working with CLIPS, but also focuses on how to process unreliable knowledge that may arise in the process of working with real data. This is especially true in the modern world, where information is often contradictory and incomplete. The book will be of interest to both beginners and experienced specialists in the field of artificial intelligence .. Students studying computer science and related disciplines will find in it useful tips and practical examples that will help them better understand how expert systems are built and function. Researchers working in the field of data processing and machine learning will appreciate the in-depth analysis of the problem of unreliable knowledge and the solutions proposed by the author. The topics raised in the book cover a wide range of issues related to data processing. Grigoriev considers how CLIPS can be used to create systems that can adapt to changing conditions and work with incomplete data. He shares his observations on how important it is to consider the context in which knowledge is used and how it affects decision-making. The book also addresses issues of ethics in artificial intelligence, making it particularly relevant in light of current discussions about the role of technology in society. The author's style is clear and accessible, which allows even complex concepts to be explained in simple language. Grigoriev uses many examples and illustrations, which makes the material more clear and understandable. His approach to explaining theoretical foundations is supported by practical tasks, which allows the reader not only to assimilate information, but also to apply it in practice. If you’re interested in books like Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig or Deep Learning by Ian Goodfellow, you’ll definitely appreciate Processing Unreliable Knowledge in CLIPS. This work will become for you not only a source of new knowledge, but also an inspiration for further research in the field of artificial intelligence. Do not miss the opportunity to immerse yourself in a world where knowledge becomes the basis for creating intelligent systems capable of solving real problems. Grigoriev’s book is not just a textbook, it is a guide to the complex but fascinating world of data processing and artificial intelligence. Read, experiment and discover new horizons in the field of knowledge!