Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Developing intelligent agents for distributed systems: exploring architecture, technologies, & applications
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Intelligent software agents
Knowledge-based systems and knowledge management: friends or foes
Information and Management
Building Organizational Intelligence: A Knowledge Management Primer
Building Organizational Intelligence: A Knowledge Management Primer
Foundations of Knowledge Systems: With Applications to Databases and Agents
Foundations of Knowledge Systems: With Applications to Databases and Agents
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
Knowledge Management Foundations: Thinking about Thinking - how People and Organizations Represent, Create, and Use Knowledge
Post-Capitalist Society
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Education and training in the knowledge-based economy: the application of knowledge management
International Journal of Information Technology and Management
An AI-based decision support system for designing Knowledge-Based Development strategies
International Journal of Intelligent Systems Technologies and Applications
Expert Systems with Applications: An International Journal
Semantic model for knowledge representation in e-business
Knowledge-Based Systems
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Knowledge management (KM) has recently received considerable attention in the computer information systems community and is continuously gaining interest in industry, enterprises and government. Decision support and KM processes are interdependent activities in many organisations. In all cases, decision makers always combine different types of data and knowledge available in various forms in the organisation. One of the keybut also criticisedbuilding blocks for advancing this field of KM and consequently supporting the decision-making is artificial intelligence (AI). In this framework, this paper aims to improve the understanding of the role of AI towards KM. It examines and discusses both the potential and the limitations of basic AI technologies in terms of their capability to support the KM process and shares thoughts and estimations on further research on the development of the next generation decision support environments.