Mcse 003 Artificial Intelligence And Knowledge Management
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Mcse 003 Artificial Intelligence And Knowledge Management
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Author : Dr. DK Sukhani
language : en
Publisher: MeetCoogle
Release Date :
Mcse 003 Artificial Intelligence And Knowledge Management written by Dr. DK Sukhani and has been published by MeetCoogle this book supported file pdf, txt, epub, kindle and other format this book has been release on with Study Aids categories.
This book is useful for IGNOU MCA students. A perusal of past questions papers gives an idea of the type of questions asked, the paper pattern and so on, it is for this benefit, we provide these IGNOU MCSE-003: Artificial Intelligence and Knowledge Management Notes. Students are advised to refer these solutions in conjunction with their reference books. It will help you to improve your exam preparations. This book covers Concept of intelligence, Artificial intelligence, definition turning test, areas of application. Search techniques, state space, Production rules, problem characteristics, production system characteristic, depth first, breadth first search methods and their analysis, Heuristic search method, generate and test, hill climbing, best first method, graph search, AND OR search methods, constraint satisfaction, backtracking. Introduction to list and string processing and dynamic databases concept of knowledge, characteristics and representation schemes, Logic, prepositional and predicate calculus, resolution, semantics nets, frames, conceptual dependency, scripts Monotonic reasoning, logical reasoning induction, natural deduction. Nonmonotonic reasoning – default reasoning minimalist reasoning, statistical reasoning –Baye‘s theorem, certainty factors, dempster shafer theory, Fuzzy logic. Concept of expert system, need for an expert system, Component and categories of an expert system, need for an expert system, Stages in the development of an expert system. Published by MeetCoogle
Artificial Intelligence And Knowledge Management
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Author : Akira Hanako
language : en
Publisher:
Release Date : 2016-05-24
Artificial Intelligence And Knowledge Management written by Akira Hanako and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-24 with Artificial intelligence categories.
Artificial intelligence and knowledge management have transformed the process of knowledge circulation and database management in different business enterprises and corporate organizations. Some of the significant topics discussed in the chapters of this book are AI planning strategies and tools, AI tools for information processing, data mining, knowledge-based systems, etc. It explores the innovative concepts and advancements in these emerging fields. The book is an invaluable source of knowledge for students and researchers involved in this field at various levels.
Ai Empowered Knowledge Management
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Author : Soumi Majumder
language : en
Publisher: Springer Nature
Release Date : 2022-02-23
Ai Empowered Knowledge Management written by Soumi Majumder and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-23 with Technology & Engineering categories.
This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.
Artificial Intelligence For Knowledge Management
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Author : Eunika Mercier-Laurent
language : en
Publisher: Springer Nature
Release Date : 2019-09-11
Artificial Intelligence For Knowledge Management written by Eunika Mercier-Laurent and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-11 with Computers categories.
This book features a selection of extended papers presented at the 5th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2017, held in Melbourne, VIC, Australia, in August 2017, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2017. The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
Intelligent Systems For Knowledge Management
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Author : Edward Szczerbicki
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-30
Intelligent Systems For Knowledge Management written by Edward Szczerbicki 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 2009-09-30 with Mathematics categories.
New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.
Managing Knowledge With Artificial Intelligence
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Author : Kevin C. Desouza
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2002-07-30
Managing Knowledge With Artificial Intelligence written by Kevin C. Desouza and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-30 with Business & Economics categories.
In clear, readable language, consultant and researcher Kevin Desouza accomplishes an unlikely feat: explaining artificial intelligence to nonspecialists, in a way that experts will recognize and accept as correct and immediately applicable. Workers in knowledge management are relatively isolated from each other, businesspeople are still unconvinced that artificial intelligence has much to offer, and engineers creating the latest algorithm or device seldom consider its value for businesspeople—Desouza seeks to change all that. He maintains that knowledge will be traded like physical goods, and that businesses must leverage knowledge resources within its organizations to survive in a highly competitive marketplace. Introducing us the concepts and significance of knowledge management, he shows that incorporating artificial intelligence computer-based techniques into business settings can provide truly significant gains in productivity. This book is among the first of its kind to provide a comprehensive one-stop guide to the basics of knowledge management, plus a lucid explanation of A.I., and how to use it in almost all types of organizational settings.
Artificial Intelligence For Knowledge Management
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Author : Eunika Mercier-Laurent
language : en
Publisher: Springer
Release Date : 2017-04-10
Artificial Intelligence For Knowledge Management written by Eunika Mercier-Laurent and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-10 with Computers categories.
This book features a selection of papers presented at the Third IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2015, held in Buenos Aires, Argentina, in July 2015, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2015. The 9 revised and extended papers were carefully reviewed and selected from 15 submissions. They present new research and innovative aspects in the field of knowledge management such as knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
Artificial Intelligence For Knowledge Management
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Author : Eunika Mercier-Laurent
language : en
Publisher: Springer Nature
Release Date : 2020-07-15
Artificial Intelligence For Knowledge Management written by Eunika Mercier-Laurent and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Computers categories.
This book features a selection of extended papers presented at the 6th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2018, held in Stockholm, Sweden, in July 2018, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2018. The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
Artificial Intelligence For Knowledge Management
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Author : Eunika Mercier-Laurent
language : en
Publisher: Springer
Release Date : 2018-06-12
Artificial Intelligence For Knowledge Management written by Eunika Mercier-Laurent and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-12 with Computers categories.
This book features a selection of papers presented at the 4th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2016, held in New York, USA, in July 2016, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2016. The 9 revised and extended papers were carefully reviewed and selected from 16 submissions. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
Knowledge Management
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Author : Irma Becerra-Fernandez
language : en
Publisher: Taylor & Francis
Release Date : 2024-02-23
Knowledge Management written by Irma Becerra-Fernandez and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-23 with Business & Economics categories.
Knowledge Management: Systems and Processes in the AI Era, Third Edition, is aimed at students and managers who seek detailed insights into contemporary knowledge management (KM). It explains the concepts, theories, and technologies that provide the foundation for knowledge management; the systems and structures that constitute KM solutions; and the processes for developing, deploying, and evaluating these KM solutions. This book serves as a complete introduction to the subject of knowledge management, incorporating technical and social aspects, as well as concepts, practical examples, traditional KM approaches, and emerging topics. This third edition has been revised and expanded to include more coverage of emergent trends such as cloud computing, online communities, crowdsourcing, and artificial intelligence. Aimed at advanced undergraduate, postgraduate, and MBA students who are seeking a comprehensive perspective on knowledge management, Knowledge Management is also complemented by online support for lecturers including suggested solutions to the many review questions and application exercises contained within the book.