The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven Computing approaches. More precisely, the ultimate goal has been to collect new knowledge representation, processing and computing paradigms which could be useful to practitioners involved in the area of discussion. To this end, contributions covering both theoretical aspects and practical solutions were preferred.

This is the first book to focus on the people side of knowledge management--what it takes to get employees to contribute to a knowledge system. Robert Buckman explains how to orchestrate this culture change, drawing from the lessons learned by Buckman Laboratories--the leader and pioneer in knowledge management--in implementing award-winning knowledge systems. His book is a practical primer on how organizations can move from "hoarding" knowledge to "sharing" it, building a global strategy that allows them to respond faster than the competition to any customer's need on a global basis. Buckman reveals how to: Combat the biggest problem with implementing knowledge management--creating the culture that supports it Increase the speed of innovation globally across an organization Resolve technical problems quickly Make immediate, informed decisions to help solve customer issues Create new products based on customer input and demand

As organizations, businesses, and other institutions work to move forward during a new era of ubiquitous modern technology, new computing and technology implementation strategies are necessary to harness the shared knowledge of individuals to advance their organizations as a whole. Intelligent and Knowledge-Based Computing for Business and Organizational Advancements examines the emerging computing paradigm of Collective Intelligence (CI). The global contributions contained in this publication will prove to be essential to both researchers and practitioners in the computer and information science communities as these populations move toward a new period of fully technology-integrated business.

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.

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.

The main aim of this research book is to report a sample of the most recent advances in the field of intelligent interactive systems in knowledge-based environment. The contents of this book include: Introduction to intelligent interactive systems Affective bi-modal intelligent tutoring system Estimation of development costs in intelligent systems Narrative interactive learning Knowledge acquisition for configurable products and services Interaction modalities in mobile contexts Face images classification for human-computer interactions Users modelling for distance learning Group adaptation and group modelling A personalized news aggregator on the web. This book would prove useful to the researchers, professors, research students and practitioners as it reports novel research work on innovative topics in the area of intelligent interactive systems.