Methodology and Tools in Knowledge-Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Methodology and Tools in Knowledge-Based Systems write by Angel P. del Pobil. This book was released on 2006-04-11. Methodology and Tools in Knowledge-Based Systems available in PDF, EPUB and Kindle. This two-volume set constitutes the refereed proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, held in Benicassim, Castellon, Spain, in June 1998.The two volumes present a total of 187 revised full papers selected from 291 submissions. In accordance with the conference, the books are devoted to new methodologies, knowledge modeling and hybrid techniques. The papers explore applications from virtually all subareas of AI including knowledge-based systems, fuzzyness and uncertainty, formal reasoning, neural information processing, multiagent systems, perception, robotics, natural language processing, machine learning, supervision and control systems, etc..
Current Trends on Knowledge-Based Systems
Current Trends on Knowledge-Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Current Trends on Knowledge-Based Systems write by Giner Alor-Hernández. This book was released on 2017-03-13. Current Trends on Knowledge-Based Systems available in PDF, EPUB and Kindle. This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains. The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.
Knowledge-Based Systems
Knowledge-Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge-Based Systems write by Rajendra Akerkar. This book was released on 2010-08-30. Knowledge-Based Systems available in PDF, EPUB and Kindle. Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users 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 are 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 being presented and to stimulate thought and discussion.
Knowledge Engineering for Modern Information Systems
Knowledge Engineering for Modern Information Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Engineering for Modern Information Systems write by Anand Sharma. This book was released on 2022-01-19. Knowledge Engineering for Modern Information Systems available in PDF, EPUB and Kindle. Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.
Knowledge-Based Systems
Knowledge-Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge-Based Systems write by Rajendra Akerkar. This book was released on 2009-08-25. Knowledge-Based Systems available in PDF, EPUB and Kindle. 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.
