Knowledge Based Concepts And Artificial Intelligence

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Artificial Intelligence

Author : R. B. Mishra
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120338499
Total Pages : 520 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis Artificial Intelligence by : R. B. Mishra

Download or read book Artificial Intelligence written by R. B. Mishra and published by PHI Learning Pvt. Ltd.. This book was released on 2010-10 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been written keeping in view the requirements of undergraduate and postgraduate students and research scholars in the area of computer science and engineering in particular, and other branches of engineering which deal with the study of AI such as electronics engineering, electrical engineering, industrial engineering (robotics and FMS). Besides the engineering students, the postgraduate students of computer science and computer applications and cognitive sciences researchers can equally benefit from this text. The basic concepts of artificial intelligence, together with knowledge representation, reasoning methods, acquisition, management and distributed architecture, have been nicely and instructively described. The various application domains and disciplines in engineering, management, medicine which cover different aspects of design, assembly and monitoring, have been presented with utility aspects of AI concepts in logic and knowledge. The book maintains a simple and comprehensible style of presentation for the different categories of readers such as students, researchers and professionals for their respective uses.

Knowledge-Based Systems

Author : Rajendra Akerkar
Publisher : Jones & Bartlett Publishers
ISBN 13 : 1449662706
Total Pages : 375 pages
Book Rating : 4.4/5 (496 download)

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Book Synopsis Knowledge-Based Systems by : Rajendra Akerkar

Download or read book Knowledge-Based Systems written by Rajendra Akerkar and published by Jones & Bartlett Publishers. This book was released on 2009-08-25 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.

Artificial Intelligence for Knowledge Management

Author : Eunika Mercier-Laurent
Publisher : Springer Nature
ISBN 13 : 3030808475
Total Pages : 262 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence for Knowledge Management by : Eunika Mercier-Laurent

Download or read book Artificial Intelligence for Knowledge Management written by Eunika Mercier-Laurent and published by Springer Nature. This book was released on 2021-07-03 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.* The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management. *The workshop was held virtually.

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 152251760X
Total Pages : 3095 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Artificial Intelligence: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Artificial Intelligence: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-12-12 with total page 3095 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Demystifying Artificial intelligence

Author : Prashant Kikani
Publisher : BPB Publications
ISBN 13 : 9389898706
Total Pages : 170 pages
Book Rating : 4.3/5 (898 download)

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Book Synopsis Demystifying Artificial intelligence by : Prashant Kikani

Download or read book Demystifying Artificial intelligence written by Prashant Kikani and published by BPB Publications. This book was released on 2021-01-05 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Artificial Intelligence

Author : Harvard Business Review
Publisher : HBR Insights
ISBN 13 : 9781633697898
Total Pages : 160 pages
Book Rating : 4.6/5 (978 download)

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Book Synopsis Artificial Intelligence by : Harvard Business Review

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Knowledge, Skill and Artificial Intelligence

Author : Bo Göranzon
Publisher : Springer Science & Business Media
ISBN 13 : 1447116321
Total Pages : 199 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Knowledge, Skill and Artificial Intelligence by : Bo Göranzon

Download or read book Knowledge, Skill and Artificial Intelligence written by Bo Göranzon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues raised by the Theory of Knowledge, a central theme in the development of Artificial Intelligence, are the main topic of this book. The major questions are: How is the expert's knowledge to be elicited, what are the limits and possibilities? How can skill be developed and maintained in a more and more computerized and abstract working life? This last question is also closely related to the discussion on programs for education and training in society and working life. Long term effects on skill formation in working life in relation to new technology are a very important area of research. Case studies form the basis for philosophical reflections with the main concept of tacit knowledge as the central issue of skill and new technology. To a great extent the discussion is based on current case studies of professional groups with experience in advanced computer technology. The contributions of this book demonstrate the complicated nature of human knowledge. They introduce different theoretical perspectives on the issue of knowledge acquisition and elicitation.

Lifelong Machine Learning, Second Edition

Author : Zhiyuan Sun
Publisher : Springer Nature
ISBN 13 : 3031015819
Total Pages : 187 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Lifelong Machine Learning, Second Edition by : Zhiyuan Sun

Download or read book Lifelong Machine Learning, Second Edition written by Zhiyuan Sun and published by Springer Nature. This book was released on 2022-06-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Artificial Intelligence Applications and Innovations II

Author : Daoliang Li
Publisher : Springer Science & Business Media
ISBN 13 : 0387283188
Total Pages : 858 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Artificial Intelligence Applications and Innovations II by : Daoliang Li

Download or read book Artificial Intelligence Applications and Innovations II written by Daoliang Li and published by Springer Science & Business Media. This book was released on 2005-08-25 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching translation, knowledge representation and reasoning, knowledge-based systems, knowledge engineering, intelligent agents, machine learning, neural nets, genetic algorithms and knowledge management. The papers in this volume comprise the refereed proceedings of the Second International Conference on Artificial Intelligence Applications and Innovations,held in Beijing, China in 2005. A very promising sign of the growing importance of Artificial Intelligence techniques in practical applications is the large number of submissions received for the conference - more than 150. All papers were reviewed by at least two members of the Program Committee and the test 93 were selected for the conference and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here.

AI Superpowers

Author : Kai-Fu Lee
Publisher : Harper Business
ISBN 13 : 132854639X
Total Pages : 275 pages
Book Rating : 4.3/5 (285 download)

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Book Synopsis AI Superpowers by : Kai-Fu Lee

Download or read book AI Superpowers written by Kai-Fu Lee and published by Harper Business. This book was released on 2018 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI Superpowers is Kai-Fu Lee's New York Times and USA Today bestseller about the American-Chinese competition over the future of artificial intelligence.

A Knowledge Representation Practionary

Author : Michael K. Bergman
Publisher : Springer
ISBN 13 : 3319980920
Total Pages : 462 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis A Knowledge Representation Practionary by : Michael K. Bergman

Download or read book A Knowledge Representation Practionary written by Michael K. Bergman and published by Springer. This book was released on 2018-12-12 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major work on knowledge representation is based on the writings of Charles S. Peirce, a logician, scientist, and philosopher of the first rank at the beginning of the 20th century. This book follows Peirce's practical guidelines and universal categories in a structured approach to knowledge representation that captures differences in events, entities, relations, attributes, types, and concepts. Besides the ability to capture meaning and context, the Peircean approach is also well-suited to machine learning and knowledge-based artificial intelligence. Peirce is a founder of pragmatism, the uniquely American philosophy. Knowledge representation is shorthand for how to represent human symbolic information and knowledge to computers to solve complex questions. KR applications range from semantic technologies and knowledge management and machine learning to information integration, data interoperability, and natural language understanding. Knowledge representation is an essential foundation for knowledge-based AI. This book is structured into five parts. The first and last parts are bookends that first set the context and background and conclude with practical applications. The three main parts that are the meat of the approach first address the terminologies and grammar of knowledge representation, then building blocks for KR systems, and then design, build, test, and best practices in putting a system together. Throughout, the book refers to and leverages the open source KBpedia knowledge graph and its public knowledge bases, including Wikipedia and Wikidata. KBpedia is a ready baseline for users to bridge from and expand for their own domain needs and applications. It is built from the ground up to reflect Peircean principles. This book is one of timeless, practical guidelines for how to think about KR and to design knowledge management (KM) systems. The book is grounded bedrock for enterprise information and knowledge managers who are contemplating a new knowledge initiative. This book is an essential addition to theory and practice for KR and semantic technology and AI researchers and practitioners, who will benefit from Peirce's profound understanding of meaning and context.

Artificial Intelligence with Machine Learning Concepts

Author : Dr.M.Priya
Publisher : SK Research Group of Companies
ISBN 13 : 8119980034
Total Pages : 212 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Artificial Intelligence with Machine Learning Concepts by : Dr.M.Priya

Download or read book Artificial Intelligence with Machine Learning Concepts written by Dr.M.Priya and published by SK Research Group of Companies. This book was released on 2023-10-26 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.M.PRIYA, Assistant Professor, Department of Computer Technology and Data Science, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India. Dr.R.VIJAYASHREE, Assistant Professor, Department of Computer Technology and Data Science, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India. Mr.V.J.RAJAKUMAR, Assistant Professor, Department of Computer Technology and Data Science, Sri Krishna Arts & Science College, Coimbatore, Tamil Nadu, India. Mr.S.S.SARAVANA KUMAR, Research Scholar, Department of Computer Science, Sri Krishna Adithya College of Arts and Science, Coimbatore, Tamil Nadu, India.

Explainable Artificial Intelligence

Author : Luca Longo
Publisher : Springer Nature
ISBN 13 : 3031637879
Total Pages : 508 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Explainable Artificial Intelligence by : Luca Longo

Download or read book Explainable Artificial Intelligence written by Luca Longo and published by Springer Nature. This book was released on with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Knowledge-Based Systems

Author : Cornelius T. Leondes
Publisher : Springer Science & Business Media
ISBN 13 : 1402078293
Total Pages : 2041 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Knowledge-Based Systems by : Cornelius T. Leondes

Download or read book Intelligent Knowledge-Based Systems written by Cornelius T. Leondes and published by Springer Science & Business Media. This book was released on 2010-04-28 with total page 2041 pages. Available in PDF, EPUB and Kindle. Book excerpt: This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The discussions provide a wealth of practical ideas intended to foster innovation in thought and, consequently, in the further development of technology. Together, they comprise a significant and uniquely comprehensive reference source for research workers, practitioners, computer scientists, academics, students, and others on the international scene for years to come.

Artificial Intelligence and its Impact on Business

Author : Wolfgang Amann
Publisher : IAP
ISBN 13 : 1648020755
Total Pages : 212 pages
Book Rating : 4.6/5 (48 download)

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Book Synopsis Artificial Intelligence and its Impact on Business by : Wolfgang Amann

Download or read book Artificial Intelligence and its Impact on Business written by Wolfgang Amann and published by IAP. This book was released on 2020-06-01 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-chatbot interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because “the measure of success for AI applications is the value they create for human lives” (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before “…education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)”.

Knowledge Representation and Reasoning

Author : Ronald Brachman
Publisher : Morgan Kaufmann
ISBN 13 : 1558609326
Total Pages : 414 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Knowledge Representation and Reasoning by : Ronald Brachman

Download or read book Knowledge Representation and Reasoning written by Ronald Brachman and published by Morgan Kaufmann. This book was released on 2004-05-19 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.

Funding a Revolution

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309062780
Total Pages : 300 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Funding a Revolution by : National Research Council

Download or read book Funding a Revolution written by National Research Council and published by National Academies Press. This book was released on 1999-02-11 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.