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.
On Knowledge Base Management Systems
On Knowledge Base Management 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 On Knowledge Base Management Systems write by Michael L. Brodie. This book was released on 2012-12-06. On Knowledge Base Management Systems available in PDF, EPUB and Kindle. Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.
Recent Trends in Artificial Intelligence for Enhancing Knowledge-based Systems
Recent Trends in Artificial Intelligence for Enhancing 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 Recent Trends in Artificial Intelligence for Enhancing Knowledge-based Systems write by . This book was released on 1993. Recent Trends in Artificial Intelligence for Enhancing Knowledge-based Systems available in PDF, EPUB and Kindle.
Current Trends in Knowledge Acquisition
Current Trends in Knowledge Acquisition - 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 in Knowledge Acquisition write by Bob Wielinga. This book was released on 1990. Current Trends in Knowledge Acquisition available in PDF, EPUB and Kindle. Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.
