Computational Intelligence Research Frontiers
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Computational Intelligence Research Frontiers
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Author : Jacek M. Zurada
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-13
Computational Intelligence Research Frontiers written by Jacek M. Zurada and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-13 with Computers categories.
This state-of-the-art survey offers a renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. The result is a balanced contribution to the field of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field. The 18 selected chapters originate from lectures and presentations given at the 5th IEEE World Congress on Computational Intelligence, WCCI 2008, held in Hong Kong, China, in June 2008. After an introduction to the field and an overview of the volume, the chapters are divided into four topical sections on machine learning and brain computer interface, fuzzy modeling and control, computational evolution, and applications.
Computational Intelligence In Personalized Medicine
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Author : Khin Wee Lai
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-17
Computational Intelligence In Personalized Medicine written by Khin Wee Lai and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-17 with Science categories.
The Artificial Intelligence And Machine Learning Blueprint Foundations Frameworks And Real World Applications
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Author : Priyambada Swain
language : en
Publisher: Deep Science Publishing
Release Date : 2025-08-06
The Artificial Intelligence And Machine Learning Blueprint Foundations Frameworks And Real World Applications written by Priyambada Swain and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
In the current era of data-centric transformation, Artificial Intelligence (AI) and Machine Learning (ML) are influencing organizational strategies and operations. The AI and Machine Learning Blueprint serves as a guide connecting academic concepts with industry applications. It is intended for both students seeking basic knowledge and professionals interested in deploying scalable AI systems. The book covers core mathematical principles relevant to AI, including linear algebra, probability, statistics, and optimization, and provides an overview of classical machine learning algorithms, neural networks, and reinforcement learning. Concepts are illustrated with practical examples, Python code, and case studies from sectors such as healthcare, finance, cybersecurity, natural language processing, and computer vision. Operational considerations are also addressed, with chapters on MLOps, model deployment, explainable AI (XAI), and ethics. The text concludes with information on emerging topics including generative AI, federated learning, and artificial general intelligence (AGI). With a blend of theoretical depth and practical relevance, this book is an essential blueprint for mastering AI and ML in today’s intelligent systems landscape.
Computational Intelligence In Economics And Finance
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Author : Paul P. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-11
Computational Intelligence In Economics And Finance written by Paul P. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-11 with Computers categories.
Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency. This book contains research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results. Chen, Wang, and Kuo have grouped the 12 contributions following their introductory chapter into applications of fuzzy logic, neural networks (including self-organizing maps and support vector machines), and evolutionary computation. All chapters were selected either by invitation or based on a careful selection and extension of best papers from the International Workshop on Computational Intelligence in Economics and Finance in 2005. Overall, the book offers researchers an excellent overview of current advances and applications of computational intelligence techniques to economics and finance problems.
Proceedings Of The 2022 3rd International Conference On Artificial Intelligence And Education Ic Icaie 2022
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Author : Bob Fox
language : en
Publisher: Springer Nature
Release Date : 2024-03-14
Proceedings Of The 2022 3rd International Conference On Artificial Intelligence And Education Ic Icaie 2022 written by Bob Fox and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Computers categories.
This is an open access book. The 2022 3rd International Conference on Artificial Intelligence and Education(ICAIE 2022) will be held in Chengdu, China during June 24-26, 2022. The meeting focused on the new trends in the development of "artificial intelligence" and "education" under the new situation, and jointly discussed how to empower and promote the high-quality development of "artificial intelligence" and "education". An ideal platform to share views and experiences with industry experts. The conference invites experts and scholars in the field to conduct wonderful exchanges based on their own research results based on the development of the times. The themes are around artificial intelligence technology and applications; intelligent and knowledge-based systems; information-based education; intelligent learning; advanced information theory and neural network technology ; software computing and algorithms; intelligent algorithms and computing and many other topics.
Artificial Intelligence In Civil Engineering
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Author : Gebrail Bekdaş
language : en
Publisher: Springer Nature
Release Date : 2026-01-01
Artificial Intelligence In Civil Engineering written by Gebrail Bekdaş and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.
Artificial Intelligence in Civil Engineering: Recent Advances provides a comprehensive overview of the latest developments in applying artificial intelligence (AI) techniques to solve complex civil engineering problems. Civil engineers today face challenges that demand not only safety and cost-effectiveness, but also sustainability and resilience against natural hazards. This volume demonstrates how AI offers powerful tools to meet these demands by transforming traditional engineering methodologies. The chapters present a broad spectrum of applications, including predicting shear wave velocity, slope stability, estimating uniaxial compressive strength of soils, optimization-based design of reinforced concrete retaining walls, structural control strategies for seismic resilience, and the integration of Building Information Modeling (BIM) with AI-driven solutions. Machine learning, deep learning, and metaheuristic algorithms are explored in detail, supported by real-world case studies and experimental data. By bridging theory with practice, the book highlights how AI enhances predictive accuracy, optimizes design processes, and reduces computational effort in engineering tasks. Researchers, graduate students, and practicing engineers will find this volume a timely reference, offering both methodological foundations and practical insights into AI-powered approaches that are reshaping the future of civil engineering.
Artificial Intelligence Games
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Author : Georgi Togeli
language : en
Publisher: A G Printing & Publishing
Release Date : 2024-09-03
Artificial Intelligence Games written by Georgi Togeli and has been published by A G Printing & Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Computers categories.
As has been pointed out by several industrial game AI developers the lack of behavioral modularity across games and in-game tasks is detrimental for the development of high quality AI [605, 171]. An increasingly popular method for ad-hoc behavior authoring that eliminates the modularity limitations of FSMs and BTs is the utility-based AI approach which can be used for the design of control and decision making systems in games [425, 557]. Following this approach, instances in the game get assigned a particular utility function that gives a value for the importance of the particular instance [10, 169]. For instance, the importance of an enemy being present at a particular distance or the importance of an agent’s health being low in this particular context. Given the set of all utilities available to an agent and all the options it has, utility-based AI decides which is the most important option it should consider at this moment [426]. The utility-based approach is grounded in the utility theory of economics and is based on utility function design. The approach is similar to the design of membership functions in a fuzzy set. A utility can measure anything from observable objective data (e.g., enemy health) to subjective notions such as emotions, mood and threat. The various utilities about possible actions or decisions can be aggregated into linear or non-linear formulas and guide the agent to take decisions based on the aggregated utility. The utility values can be checked every n frames of the game. So while FSMs and BTs would examine one decision at a time, utility-based AI architectures
Artificial Intelligence Foundations Frontiers And Futures
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Author : Editors: Dr. G. Ashok Kumar, Dr. K. C. Sreedhar, Ms. M. Swathi
language : en
Publisher: Quill Tech Publications
Release Date : 2025-09-25
Artificial Intelligence Foundations Frontiers And Futures written by Editors: Dr. G. Ashok Kumar, Dr. K. C. Sreedhar, Ms. M. Swathi and has been published by Quill Tech Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-25 with categories.
Artificial Intelligence: Foundations, Frontiers and Futures provides a comprehensive exploration of artificial intelligence, tracing its journey from philosophical origins and early symbolic reasoning to today’s data-driven, generative, and multimodal systems. Designed for students, researchers, and practitioners, the book offers a balanced blend of theoretical underpinnings, practical applications, and forward-looking perspectives. The early chapters establish the foundations of AI, covering symbolic AI, machine learning fundamentals, and core technologies such as natural language processing, computer vision, and robotics. These sections give readers the essential knowledge to understand how AI systems are designed, trained, and applied across domains. Moving toward the frontiers of AI, the book delves into advanced topics including federated learning, edge intelligence, generative models, explainable AI, and human–AI collaboration. Real-world use cases highlight the transformative impact of AI across healthcare, finance, education, industry, and society at large. Finally, the text examines the futures of AI, addressing critical themes such as ethical and governance challenges, sustainability, democratization of AI access, and the pursuit of Artificial General Intelligence (AGI). Emerging technologies such as neuromorphic computing, quantum AI, and brain-inspired architectures are explored as potential pathways to the next era of intelligence. By bridging history, current innovations, and speculative futures, this book equips readers not only with knowledge of AI’s technical depth but also with a critical awareness of its societal and ethical implications. It serves as a guide for understanding how AI is reshaping the present and what possibilities lie ahead in the evolving landscape of intelligence.
New Frontiers In Computational Intelligence And Its Applications
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Author : Masoud Mohammadian
language : en
Publisher: IOS Press
Release Date : 2000
New Frontiers In Computational Intelligence And Its Applications written by Masoud Mohammadian and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Computational Intelligence is a broad and active research area that is growing rapidly due to the many successful applications of these new techniques in very diverse problems. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products developed using computational intelligence methods is evidence of this fact. The goal of this book is to provide highlights of the current research in computational intelligence area. The book consists of research papers in the fields of neural networks, fuzzy logic, evolutionary computing, hybrid evolutionary computing-fuzzy logic systems, hybrid neural networks-evolutionary computing and fuzzy logic systems, image processing and vision, advances in robotics, control and manufacturing, and rough sets.
Artificial Intelligence And Games
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Author : Georgios N. Yannakakis
language : en
Publisher: Springer Nature
Release Date : 2025-07-04
Artificial Intelligence And Games written by Georgios N. Yannakakis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Computers categories.
This book covers artificial intelligence methods applied to games, both in research and game development. It is aimed at graduate students, researchers, game developers, and readers with a technical background interested in the intersection of AI and games. The book covers a range of AI methods, from traditional search, planning, and optimization, to modern machine learning methods, including diffusion models and large language models. It discusses applications to playing games, generating content, and modeling players, including use cases such as level generation, game testing, intelligent non-player characters, player retention, player experience analysis, and game adaptation. It also covers the use of games, including video games, to test and benchmark AI algorithms. The book is informed by decades of research and practice in the field and combines insights into game design with deep technical knowledge from the authors, who have pioneered many of the methods and approaches used in the field. This second edition of the 2018 textbook captures significant developments in AI and gaming over the past 7 years, incorporating advancements in computer vision, reinforcement learning, deep learning, and the emergence of transformer-based large language models and generative AI. The book has been reorganized to provide an updated overview of AI in games, with separate sections dedicated to AI’s core uses in playing and generating games, and modeling their players, along with a new chapter on ethical considerations. Aimed at readers with foundational AI knowledge, the book primarily targets three audiences: graduate or advanced undergraduate students pursuing careers in game AI, AI researchers and educators seeking teaching resources, and game programmers interested in creative AI applications. The text is complemented by a website featuring exercises, lecture slides, and additional educational materials suitable for undergraduate and graduate courses.