Cultivating Communities of Practice: A Guide to Managing Knowledge
Cultivating Communities of Practice: A Guide to Managing Knowledge
Was Collective Intelligence before Life on Earth?
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Agent-Based Modeling of Knowledge Flows: Illustration from the Domain of Information Systems Design
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8 - Volume 8
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Computational Intelligence: Methods and Techniques
Computational Intelligence: Methods and Techniques
Distributed Intelligent Systems: A Coordination Perspective
Distributed Intelligent Systems: A Coordination Perspective
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Computational Framework for Knowledge: Integrated Behavior of Machines
Computational Framework for Knowledge: Integrated Behavior of Machines
Fully automated resource retrieval in telecommunications and internet converged environments
Information Systems Frontiers
Hi-index | 0.00 |
Knowledge assets are a critical resource that can generate a competitive advantage for organizations. Generally, knowledge can be divided in explicit knowledge and tacit knowledge. Organizations focus on managing the explicit knowledge, but also on capturing the tacit knowledge embedded in the individuals' experiences. Through the interactions in social networks, community-based knowledge development has become a very effective tool. In this context, more and more organizations are developing communities of practice as a strategic tool for knowledge development and sharing within the organization and across organizational boundaries. In the last years numerous contributions and approaches pointed out the importance of communities of practice in the knowledge economy. The most relevant argument is that communities of practice are the core of collective learning and collective intelligence, relaying on a permanent exchange of knowledge and information related to the practice. Communities of practice enhance particular knowledge that exist in the organizations and contribute to its coherence. Communities of practice can provide a social reservoir for practitioners, knowledge producers and policy makers to analyze, address and explore new solutions to their problems. These communities are emerging in knowledge-based organizations. They can enhance the efficiency of production and can improve the innovative processes. The paper addresses the new trends and challenges of knowledge dynamics within communities of practice and examines the emergence of this type of communities. We show how computational techniques enhance collective intelligence within communities of practice and suggest a way to model communities' dynamics. The main objective of the paper is to simulate computational collective intelligence using agent-based models.