Theories And Applications Of Artificial Intelligence

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Artificial Intelligence: Theory and Applications

Author : Endre Pap
Publisher : Springer Nature
ISBN 13 : 3030727114
Total Pages : 353 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Artificial Intelligence: Theory and Applications by : Endre Pap

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.

Artificial Intelligence Theory, Models, and Applications

Author : P Kaliraj
Publisher : CRC Press
ISBN 13 : 1000460606
Total Pages : 506 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Theory, Models, and Applications by : P Kaliraj

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 506 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.

Theories and Applications of Artificial Intelligence

Author : Mitch Hoppe
Publisher : States Academic Press
ISBN 13 : 9781639895243
Total Pages : 249 pages
Book Rating : 4.8/5 (952 download)

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Book Synopsis Theories and Applications of Artificial Intelligence by : Mitch Hoppe

Download or read book Theories and Applications of Artificial Intelligence written by Mitch Hoppe and published by States Academic Press. This book was released on 2021-11-16 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intelligence demonstrated by machines, which is different from the natural intelligence displayed by humans and animals, is referred to as artificial intelligence. It encompasses the ability of a system to correctly interpret external data, to develop learning from that data and to use the learning for flexible adaptation to perform specific tasks. Artificial intelligence is a combination of deep learning and machine learning. Some of the examples of artificial intelligence include autonomous vehicles like self-driving cars and drones, online assistants, search engines, etc. It has applications in multiple industries such as healthcare, navigation, robotics, agriculture, automobiles, and marketing, etc. The various advancements in artificial intelligence are glanced at and their applications as well as ramifications are looked at in detail in this book. The ever growing need of advanced technology is the reason that has fueled the research in the field of artificial intelligence in recent times. Through this book, we attempt to further enlighten the readers about the new concepts in this field.

Advances in Artificial Intelligence

Author : James C. Bezdek
Publisher : World Scientific
ISBN 13 : 9789810205256
Total Pages : 240 pages
Book Rating : 4.2/5 (52 download)

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Book Synopsis Advances in Artificial Intelligence by : James C. Bezdek

Download or read book Advances in Artificial Intelligence written by James C. Bezdek and published by World Scientific. This book was released on 1990 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents extensions of papers reported in the proceedings of the 1989 SPIE symposium. In the applications group articles cover the use of expert systems in computer aided education, hydrocarbon (oil) exploration, satellite image analysis for oceanography, particle beam accelerator tuning, design of internal combustion engines. Papers in the theory group cover theories, algorithms, architectures and software tools that can be used for modules within future systems.

An Intuitive Exploration of Artificial Intelligence

Author : Simant Dube
Publisher : Springer Nature
ISBN 13 : 3030686248
Total Pages : 355 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis An Intuitive Exploration of Artificial Intelligence by : Simant Dube

Download or read book An Intuitive Exploration of Artificial Intelligence written by Simant Dube and published by Springer Nature. This book was released on 2021-06-21 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.

Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions

Author : Sucar, L. Enrique
Publisher : IGI Global
ISBN 13 : 160960167X
Total Pages : 444 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions by : Sucar, L. Enrique

Download or read book Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions written by Sucar, L. Enrique and published by IGI Global. This book was released on 2011-10-31 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030519201
Total Pages : 310 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications by : Aboul Ella Hassanien

Download or read book Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-08-31 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

Artificial Intelligence: Theories, Models and Applications

Author :
Publisher :
ISBN 13 : 9788354087885
Total Pages : 0 pages
Book Rating : 4.0/5 (878 download)

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Book Synopsis Artificial Intelligence: Theories, Models and Applications by :

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.

Artificial Intelligence in Data Mining

Author : D. Binu
Publisher : Academic Press
ISBN 13 : 0128206160
Total Pages : 270 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Artificial Intelligence in Data Mining by : D. Binu

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 270 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

Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices

Author : Hamido Fujita
Publisher : Springer Nature
ISBN 13 : 3030557898
Total Pages : 931 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices by : Hamido Fujita

Download or read book Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices written by Hamido Fujita and published by Springer Nature. This book was released on 2020-09-04 with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis.

Philosophy and Theory of Artificial Intelligence 2017

Author : Vincent C. Müller
Publisher : Springer
ISBN 13 : 3319964488
Total Pages : 316 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Philosophy and Theory of Artificial Intelligence 2017 by : Vincent C. Müller

Download or read book Philosophy and Theory of Artificial Intelligence 2017 written by Vincent C. Müller and published by Springer. This book was released on 2018-08-28 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing.

Theory and Novel Applications of Machine Learning

Author : Er Meng Joo
Publisher : BoD – Books on Demand
ISBN 13 : 3902613556
Total Pages : 390 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Theory and Novel Applications of Machine Learning by : Er Meng Joo

Download or read book Theory and Novel Applications of Machine Learning written by Er Meng Joo and published by BoD – Books on Demand. This book was released on 2009-01-01 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. Real-world applications of ML are widespread such as Pattern Recognition, Data Mining, Gaming, Bio-science, Telecommunications, Control and Robotics applications. This books reports the latest developments and futuristic trends in ML.

Universal Artificial Intelligence

Author : Marcus Hutter
Publisher : Springer Science & Business Media
ISBN 13 : 3540268774
Total Pages : 294 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Universal Artificial Intelligence by : Marcus Hutter

Download or read book Universal Artificial Intelligence written by Marcus Hutter and published by Springer Science & Business Media. This book was released on 2005-12-29 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Artificial Intelligence Systems Based on Hybrid Neural Networks

Author : Michael Zgurovsky
Publisher : Springer Nature
ISBN 13 : 303048453X
Total Pages : 527 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Artificial Intelligence Systems Based on Hybrid Neural Networks by : Michael Zgurovsky

Download or read book Artificial Intelligence Systems Based on Hybrid Neural Networks written by Michael Zgurovsky and published by Springer Nature. This book was released on 2020-09-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Artificial Intelligence

Author : Thomas L. Dean
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 604 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Artificial Intelligence by : Thomas L. Dean

Download or read book Artificial Intelligence written by Thomas L. Dean and published by Addison-Wesley Professional. This book was released on 1995 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed understanding of the broad issues in artificial intelligence and a survey of current AI technology. The author delivers broad coverage of innovative representational techniques, including neural networks, image processing and probabilistic reasoning, alongside the traditional methods of symbolic reasoning. The work is intended for students in artificial intelligence, researchers and LISP programmers.

Artificial Intelligence in Economics and Finance Theories

Author : Tankiso Moloi
Publisher : Springer Nature
ISBN 13 : 3030429628
Total Pages : 131 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Artificial Intelligence in Economics and Finance Theories by : Tankiso Moloi

Download or read book Artificial Intelligence in Economics and Finance Theories written by Tankiso Moloi and published by Springer Nature. This book was released on 2020-05-07 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

Application of Artificial Intelligence to Assessment

Author : Hong Jiao
Publisher : IAP
ISBN 13 : 1641139536
Total Pages : 223 pages
Book Rating : 4.6/5 (411 download)

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Book Synopsis Application of Artificial Intelligence to Assessment by : Hong Jiao

Download or read book Application of Artificial Intelligence to Assessment written by Hong Jiao and published by IAP. This book was released on 2020-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.