Download or read book Artificial Intelligence Theory and Applications written by Endre Pap and published by Springer Nature. This book was released on 2021-07-15 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.

Download or read book Intelligence Theories and Applications written by Rainer M. Holm-Hadulla and published by Springer Nature. This book was released on 2022-06-29 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligence allows people to understand events and to shape their surrounding environment. This book delves deeper into the theories and applications of intelligence, showing it is a multifaceted concept —defined and explained differently by prestigious experts of various disciplines in their own research. The book provides interdisciplinary connections of intelligence as it relates to a variety of clearly outlined subject areas, and should lead to a deep understanding of the phenomenon as it pertains to practical applications in different domains. Contributors in this volume present results from evolutionary biology, mathematics, artificial intelligence, medicine, psychology, cultural studies, economy, political sciences and philosophy. Individual scientific models are integrated in an interdisciplinary concept of wisdom. This volume will help enhance the common understanding of intelligence for fellow researchers and scientists alike.

Download or read book Handbook of Intelligence written by Benjamin B. Wolman and published by Wiley-Interscience. This book was released on 1985-10-10 with total page 1020 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first work to cover the entire field of intelligence--from historical beginnings through conceptual and practical development to the latest research. Experts in the field descibe various theories on intelligence from a historical perspective. Then, they discuss methods of measurement and controversial issues concerning the use of intelligence tests in clinical and educational fields. The final chapters cover the application of intelligence tests in every possible area.

Download or read book Multiple Intelligences written by Howard E. Gardner and published by Basic Books. This book was released on 1993-04-20 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Howard Gardner's brilliant conception of individual competence is changing the face of education today. In the ten years since the publication of his seminal Frames of Mind , thousands of educators, parents, and researchers have explored the practical implications of Multiple Intelligences (MI) theory—the powerful notion that there are separate human capacities, ranging from musical intelligence to the intelligence involved in understanding oneself. Multiple Intelligences: The Theory in Practice brings together previously published and original work by Gardner and his colleagues at Project Zero to provide a coherent picture of what we have learned about the educational applications of MI theory from projects in schools and formal research over the last decade.

Download or read book Assessing Emotional Intelligence written by Con Stough and published by Springer Science & Business Media. This book was released on 2009-06-15 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing human emotions plays a critical role in everyday functioning. After years of lively debate on the significance and validity of its construct, emotional intelligence (EI) has generated a robust body of theories, research studies, and measures. Assessing Emotional Intelligence: Theory, Research, and Applications strengthens this theoretical and evidence base by addressing the most recent advances and emerging possibilities in EI assessment, research, and applications. This volume demonstrates the study and application of EI across disciplines, ranging from psychometrics and neurobiology to education and industry. Assessing Emotional Intelligence carefully critiques the key measurement issues in EI, and leading experts present EI as eminently practical and thoroughly contemporary as they offer the latest findings on: EI instruments, including the EQ-I, MSCEIT, TEIQue, Genos Emotional Intelligence Inventory, and the Assessing Emotions Scale. The role of EI across clinical disorders. Training professionals and staff to apply EI in the workplace. Relationships between EI and educational outcomes. Uses of EI in sports psychology. The cross-cultural relevance of EI. As the contributors to this volume in the Springer Series on Human Exceptionality make clear, these insights and methods hold rich potential for professionals in such fields as social and personality psychology, industrial and organizational psychology, psychiatry, business, and education.

Download or read book Artificial Intelligence Theory Models and Applications written by P Kaliraj and published by CRC Press. This book was released on 2021-10-21 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.

Download or read book Adaptive Intelligence written by Robert J. Sternberg and published by Cambridge University Press. This book was released on 2021-02-04 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: High IQs don't improve the world. Adaptive intelligence does, because it prioritizes the common good over individual success.

Download or read book Computational Intelligence Theories Applications and Future Directions Volume I written by Nishchal K. Verma and published by Springer. This book was released on 2018-07-31 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected proceedings of ICCI-2017, discussing theories, applications and future directions in the field of computational intelligence (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and methods. This volume covers the current state of the field and explores new, open research directions. The book serves as a guide for readers working to develop and validate real-time problems and related applications using computational intelligence. It focuses on systems that deal with raw data intelligently, generate qualitative information that improves decision-making, and behave as smart systems, making it a valuable resource for researchers and professionals alike.

Download or read book Artificial Intelligence Theories Models and Applications written by and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th Hellenic Conference on Artificial Intelligence, SETN 2008, held at Syros, Greece in October 2008. The 27 revised full papers together with 17 revised short papers were carefully reviewed and selected from 76 submissions. The papers address any area of artificial intelligence; particular fields of interest include: Adaptive Systems, AI and Creativity, AI rchitectures, Artificial Life, Autonomous Systems, Data Mining and Knowledge Discovery, Hybrid Intelligent Systems & Methods, Intelligent Agents, Multi-agent Systems, Intelligent Distributed Systems, Intelligent Information Retrieval, Intelligent/Natural Interactivity, Intelligent Virtual Environments, Knowledge Representation and Reasoning, Logic Programming, Knowledge-Based Systems, Machine Learning, Neural Nets, Genetic Algorithms, Natural Language Processing, Planning and Scheduling, Problem Solving, Constraint Satisfaction, Robotics, Machine Vision, Machine Sensing.

Download or read book Computational Intelligence Theories Applications and Future Directions Volume II written by Nishchal K. Verma and published by Springer. This book was released on 2018-09-01 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected proceedings of ICCI-2017, discussing theories, applications and future directions in the field of computational intelligence (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and methods. This volume covers the current state of the field and explores new, open research directions. The book serves as a guide for readers working to develop and validate real-time problems and related applications using computational intelligence. It focuses on systems that deal with raw data intelligently, generate qualitative information that improves decision-making, and behave as smart systems, making it a valuable resource for researchers and professionals alike.

Download or read book Handbook of Cultural Intelligence written by Soon Ang and published by Routledge. This book was released on 2015-01-28 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cultural intelligence is defined as an individual's ability to function effectively in situations characterized by cultural diversity. With contributions from eminent scholars worldwide, the "Handbook of Cultural Intelligence" is a 'state-of-the-science' summary of the body of knowledge about cultural intelligence and its relevance for managing diversity both within and across cultures. Because cultural intelligence capabilities can be enhanced through education and experience, this handbook emphasizes individual capabilities - specific characteristics that allow people to function effectively in culturally diverse settings - rather than the approach used by more traditional books of describing and comparing cultures based on national cultural norms, beliefs, habits, and practices.The Handbook covers conceptional and definitional issues, assessment approaches, and application of cultural intelligence in the domains of international and cross-cultural management as well as management of domestic activity. It is an invaluable resource that will stimulate and guide future research on this important topic and its application across a broad range of disciplines, including management, organizational behavior, industrial and organizational psychology, intercultural communication, and more.

Download or read book Advanced Intelligent Computing Theories and Applications written by De-Shuang Huang and published by Springer Science & Business Media. This book was released on 2008-09-08 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Download or read book Computational Intelligence written by Amit Konar and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.

Download or read book Bio Inspired Computing Theories and Applications written by Linqiang Pan and published by Springer Nature. This book was released on with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Bio Inspired Artificial Intelligence written by Dario Floreano and published by MIT Press. This book was released on 2023-04-04 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Download or read book Intelligent Robotic Systems Theory Design and Applications written by Kimon P. Valavanis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and decision making capabilities. The development of the theory of intelligent machines has been developed in parallel to the advances in robot design. This theory is the natural outcome of research and development in classical control (1950s), adaptive and learning control (1960s), self-organizing control (1970s) and intelligent control systems (1980s). The theory of intelligent machines involves utilization and integration of concepts and ideas from the diverse disciplines of science, engineering and mathematics, and fields like artificial intelligence, system theory and operations research. The main focus and motivation is to bridge the gap between diverse disciplines involved and bring under a common cover several generic methodologies pertaining to what has been defined as machine intelligence. Intelligent robotic systems are a specific application of intelligent machines. They are complex computer controlled robotic systems equipped with a diverse set of visual and non visual sensors and possess decision making and problem solving capabilities within their domain of operation. Their modeling and control is accomplished via analytical and heuristic methodologies and techniques pertaining to generalized system theory and artificial intelligence. Intelligent Robotic Systems: Theory, Design and Applications, presents and justifies the fundamental concepts and ideas associated with the modeling and analysis of intelligent robotic systems. Appropriate for researchers and engineers in the general area of robotics and automation, Intelligent Robotic Systems is both a solid reference as well as a text for a graduate level course in intelligent robotics/machines.

Download or read book Artificial Intelligence in Data Mining written by D. Binu and published by Academic Press. This book was released on 2021-02-17 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. - Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering - Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks - Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense