New York: Taylor & Francis Ltd, 2022. — 259 p. Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book...
Boca Raton: CRC Press, 2023. — 399 p. Artificial Intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn on how to leverage them. This handbook presents the preparatory and operational foundations for efficacy, applicability, and risk, and how to take advantage of these...
New York: Wiley-IEEE Computer Society Pr, 1996. - 661 p. Mathematical Methods in Artificial Intelligence introduces the student to the important mathematical foundations and tools in AI and describes their applications to the design of AI algorithms. This useful text presents an introductory AI course based on the most important mathematics and its applications. It focuses on...
CRC Press, 2020. — 240 p. — ISBN13: 978-1-1383-2025-3. Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it...
Independently published, 2023. — 117 p. AI is undoubtedly the most critical technology that we must understand today. It is affecting everyone’s career, business, and profession. However, AI is a complex and mysterious technology. To understand it, we have to climb a mountain of cryptic mathematical concepts and formulas, and success may still be elusive. ‘The Secrets of AI’...
2nd Edition. — John Wiley & Sons, Inc., 2020. — 355 p. — ISBN: 978‐1‐119‐56193‐4. This book, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark — a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call...
London: Palgrave Macmillan, 2017. — 181 p. At the core of the book is a framework, developed by the author, which describes in non–technical language the eight core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through natural language processing, to prediction, is explained using real–life examples and how they can be...
MIT Press, 1992. — 560 p. How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain . Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience,...
Packt Publishing, 2019. — 360 p. — ISBN 978-1-83864-535-9. This friendly and accessible guide to AI theory and programming in Python requires no maths or data science background. AI is changing the world – and with this book, anyone can start building intelligent software! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to...
Springer, 2019. — 133 p. — ISBN: 978-3-030-30370-9. The last few years have seen a huge growth in the capabilities and applications of Artificial Intelligence (AI). Hardly a day goes by without news about technological advances and the societal impact of the use of AI. Not only are there large expectations of AI’s potential to help to solve many current problems and to support...
Springer, 2023. — 482 p. In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical Computer Science and Machine Learning via engineered algorithmic solutions. Part I of the book introduces the basics. The author...
New York: Springer, 2022. — 141 p. This book explains what is required to make a more robust statistical comparison of the performance achieved by meta-heuristics. It does not explain how to develop a new single- or multi-objective meta-heuristic, or how to run it on a specific or a set of problem instances and collect the experimental data. It deals in which statistical...
Springer, 2019. — 110 p. — ISBN: 3319951947. This book presents TDF (Tactics Development Framework), a practical methodology for eliciting and engineering models of expert decision-making in dynamic domains. The authors apply the BDI (Beliefs, Desires, Intentions) paradigm to the elicitation and modeling of dynamic decision making expertise, including team behaviour, and map it...
Routledge, 2021. — 362 p. — ISBN: 9780367754952 The great majority of books on artificial intelligence are written by AI experts who understandably focus on its achievements and potential transformative effects on society. In contrast, AI vs Humans is written by two psychologists (Michael and Christine Eysenck) whose perspective on AI (including robotics) is based on their...
Springer, 2005. — 230 p. The book presents an original and astounding new understanding of the brain by taking into account novel achievements in Fuzziness and Quantum Information Theory. Bringing together Neuroscience, Soft Computing, Quantum Theory, and recent developments in mathematics the actual knowledge about the brain functioning is formalized into a coherent...
Springer, 2008. — 312 p. The year 2008 is a memorial year for Georgiy Voronoi (1868 -1908), with a number of events in the scientific community commemorating his tremendous contribution to the area of mathematics, especially number theory, through conferences and scientific gatherings in his honor. A notable event taking place in September 2008 a joint conference: the 5th...
Elsevier, 1995 — 434 p. — (Studies in Computer Science and Artificial Intelligence 12) — ISBN: 978-0-444-82226-0, 0444822267. Problem-solving is the very area of artificial intelligence (AI) that, probably, will never result in a complete set of formalized theories, a pragmatic philosophy, or a "universal" applied discipline. Studying questions concerning this area encompasses...
Intech, 2012. — 284 p. Although nowadays there is some degree of success on the called "knowledge-based systems'7 and in certain technologies using knowledge representations, no single knowledge representations has been found complete enough to represent satisfactorily all the requirements posed by common cognitive processes, able to be manipulated by general purpose...
MIT Press, 1992. — 225 p. The first technical descriptions and definitions of adaptation come from biology. In that context adaptation designates any process whereby a structure is progressively modified to give better performance in its environment. The structures may range from a protein molecule to a horse's foot or a human brain or, even, to an interacting group of...
Addison-Wesley, 1995. — 185 p. Contemporary realist theory starts from the premise that the international system is "anarchic," as if anarchy were somehow an anomalous condition. But in a discussion of complex systems such as biology and the stock market, John Holland and his colleagues at the Santa Fe Institute have argued that order often emerges out of unordered systems....
North Mankato: Essential Library, 2016. — 112 p. Thrilling new discoveries in science and technology are announced almost daily. Cutting-Edge Science and Technology keeps readers at the forefront of new research. Artificial Intelligence covers a wide variety of topics in the emerging field of machine learning, including facial identification, voice recognition, video games,...
Springer, 1998, -480 p. Managing uncertainty is one of the key questions in a diverse range of areas in computing. Many researchers in both universities and commercial organizations are seeking better information on applying uncertainty formalisms. There is a particular need for analyses comparing and contrasting different approaches to uncertainty formalisms and we hope that...
New York: Springer, 2022. — 369 p. The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore...
The MIT Press, 2019. — 296 p. (MIT Press Essential Knowledge series). — ISBN: 9780262537551. An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones,...
Singapore: Bentham Science Publishers, 2022. — 383 p. This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms, and data science. The basic concepts relevant to these topics are explained, including evolutionary...
Springer, 2020. — 178 p. — ISBN: 978-3-030-27438-2. This book deals with “Computer Aided Writing”, CAW for short. The contents of that is a sector of Knowledge based technics and Knowledge Management. The role of Knowledge Management in social media, education and Industry 4.0 is out of question. More important is the expectation of combining Knowledge Management and Cognitive...
Springer, 1994. — 363 p. This collection of thoroughly refereed papers presents state-of-the-art research results by well-known researchers on the foundations of knowledge representation and reasoning. In addition, there are two surveys, one by the volume editors intended as a guide to this book and another by Shoham and Cousins on mental attitudes. In total, the volume...
Praeger, 2018. — 325 p. — ISBN: 1440859949. This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in the daily work of businesses and oversight by boards. In 2018, artificial intelligence (AI) becomes the topic of holiday gatherings and...
First edition. — Springer-Verlag GmbH, 2020. — 279 p. — (Technik im Fokus series). — ISBN: 978-3-662-59716-3. Everybody knows them. Smartphones that talk to us, wristwatches that record our health data, workflows that organize themselves automatically, cars, airplanes and drones that control themselves, traffic and energy systems with autonomous logistics or robots that explore...
Apress, 2023. — 158 p. Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in Artificial Intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of...
Apress, 2018. — 219 p. — ISBN13: 978-1-4842-3590-4. Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing...
Apress, 2018. — 262 p. — ISBN13: 978-1-4842-3645-1. Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You’ll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing...
Apress, 2018. — 184 p. — ISBN13: 978-1-4842-3720-5. Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract concepts...
Massachusetts: The MIT Press, 1993. - 412 p. This collection of original contributions reports on key advances in intelligent (knowledge-based) user interfaces that exploit multiple media - text, graphics, maps - and multiple modalities - visual, auditory, gestural - to facilitate human-computer interaction. Chapters are grouped into three sections that address automated...
Springer, 2023. — 273 p. This book presents an overview and several applications of explainable Artificial Intelligence (XAI). It covers different aspects related to explainable Artificial Intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for...
World Scientific Publishing Co, 1990. — 260 p. — eBook ISBN: 978-981-4506-84-7. This book goes right into the causes and reasons for the diversity of ways of thinking. It is about the tricks of how our thinking works and about the efforts and failures of artificial intelligence. It discusses what can and cannot be expected of `intelligent' computers, and provides an insight...
Cambridge University Press, 1995, -368 p. Epistemic logic concerns the notions knowledge and belief ('επιστημη — episteme — is Greek for 'knowledge'), and stems from philosophy where it has been developed to give a formal treatment of these notions. (Sometimes the logic of belief is separately referred to as doxastic logic, from the Greek word δοξα — doxa — , meaning 'surmise'...
2nd edition. — Morgan Kaufmann Publishers, 2009. — 895 p. — ISBN: 978-0-12-374731-0. Game development lives in its own technical world. It has its own idioms, skills, and G challenges. That’s one of the reasons it is so much fun to work on. There’s a reasonably good chance of being the first person to meet and beat a new programming challenge. Despite numerous efforts to bring...
Bentham Science Publishers, 2022. — 343 p. — ISBN: 978-1-68108-855-6 The importance of Artificial Intelligence cannot be over-emphasized in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial...
Cambridge, UK: Cambridge University Press, 2006. — 224 p. — ISBN10: 9780521032728; ISBN13: 978-0521032728 — (Cambridge Tracts in Theoretical Computer Science. Book 39) Reasoning under uncertainty, that is, making judgments with only partial knowledge, is a major theme in artificial intelligence. Professor Paris provides here an introduction to the mathematical foundations of...
Berlin: de Gruyter, 2023. — 308 p. This book is to explore and explains the strategically sound capabilities of the synchronization between quantum computing and Artificial Intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quantum computing and AI domains. Quantum...
Ievgen Redko, Amaury Habrard, Emilie Morvant, Marc Sebban, Younès Bennani. — ISTE Press - Elsevier, 2019. — 194 p. — ISBN: 978-1-78548-236-6. This book gives current, state-of-the-art results on transfer learning, with a particular focus placed on domain adaptation from a theoretical point-of-view. The book begins with a brief overview of the most popular concepts used to...
Springer, 2008. — 519 p. This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots. The first part of the book presents methods of knowledge representation...
Packt Publishing, 2019. — 537 p. — ISBN: 978-1-78883-565-7. Learn to build intelligent and responsive Non-Player Characters for your games with Unreal Engine Game AI. Learning how to apply artificial intelligence ( AI ) is crucial and can take the fun factor to the next level, whether you’re developing a traditional, educational, or any other kind of game. If you want to use AI...
Apress, 2020. — 270 p. — ISBN: 978-1-4842-5360-1. Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You’ll start by walking through the basics of fuzzy sets and relations, and how each...
Boca Raton: CRC Press, 2023. — 346 p. This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of Artificial Intelligence (AI) and the Internet of things (IoT) in smart healthcare. It includes case studies, implementation, and management of smart healthcare systems using AI. Chapters focus on AI...
Brooks/Cole, 2000. — 610 p. — ISBN: 0-534-94965-7. John Sowa integrates logic, philosophy, linguistics, and computer science into this study of knowledge and its various models and implementations. His definitive new book shows how techniques of artificial intelligence, database design, and object-oriented programming help make knowledge explicit in a form that computer systems...
Apress, 2019. — 133 p. — ISBN13: 978-1-4842-5466-0. Artificial Intelligence (AI), we often see it as a panacea that can somehow resolve everything. As it stands today, the outlook is still highly debatable. AI has now become a real-world application technology, and it is becoming part of modern life fabric. If AI is to drive the business success and social acceptance, it cannot...
San Diego, CA : Academic Press, 1992. — xii, 268 p. — ISBN: 0-12-685245-6. Fuzzy sets were first advocated by Professor L. A. Zadeh in 1965. Besides a few specialists, the world didn't pay much attention to fuzzy sets for the first 10 years, but recently there has been a rapid growth in the number of researchers and papers devoted to them. The field has developed so far as to...
Manning Publications, 2022. — 330 p. — ISBN: 978-1617297649. AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner workings. Make your AI more transparent, and you’ll improve trust in your results, combat data leakage and bias, and ensure compliance with legal requirements. In Interpretable AI , you will learn: Why AI...
Packt Publishing, 2019. — 223 p. — ISBN: 978-1-78961-044-4. Learn how to design and develop robotic process automation solutions with Blue Prism to perform important tasks that enable value creation in your work Robotic process automation is a form of business process automation where user-configured robots can emulate the actions of users. Blue Prism is a pioneer of robotic...
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