Beyond the chalkboard: computer support for collaboration and problem solving in meetings
Communications of the ACM
Intelligent information-sharing systems
Communications of the ACM
A substrate for object-oriented interface design
Research directions in object-oriented programming
Object lens: a “spreadsheet” for cooperative work
ACM Transactions on Information Systems (TOIS)
Journal of the American Society for Information Science
Next-Cut: a second generation framework for concurrent engineering
Proceedings of the MIT-JSME workshop on Computer-aided cooperative product development
Technological support for work group collaboration
Technological support for work group collaboration
Computer-supported cooperative work: a book of readings
Computer-supported cooperative work: a book of readings
ACM Transactions on Information Systems (TOIS) - Special issue: selected papers from the conference on office information systems
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Action and planning in embedded agents
Robotics and Autonomous Systems
Intelligent software for ecological building design
Intelligent Decision Technologies
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We propose a software framework for integrating people and computer systems in large, geographically dispersed manufacturing enterprises. Underlying the framework is an enterprise model that is built by dividing complex business processes into elementary tasks or activities. Each such task is then modeled in cognitive terms (e.g., what to look for, what to do, who to tell), and entrusted to an Intelligent Agent (IA) for execution. The IAs interact with each other directly via a message bus, or through a shared, distributed knowledge base. They can also interact with humans through personal assistants (PAs), a special type of IA that knows how to communicate with people through multi-media interfaces. Preliminary experimental results suggest that this model-based, man-machine approach provides a viable path for applying DAI to realworld enterprises.