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We delineate an integrative view of interorganizational knowledge transfer (IOKT) in the upstream supply chain relationship from a buyer’s perspective. For this purpose, we sugg...
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
In this paper we present the MAPa language for expressing knowledge transfer and action restriction between agents in multiagent systems. Our approach is founded on the definition ...
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...
Preserving and fostering knowledge is the vital interest of a network-like virtual organization. The decentralized and geographically distributed organizational structure inhibits...
Knowledge transfer among geographically separated members is recognized as a critical ingredient for collaborative accomplishment of knowledge work in virtual teams. However, due ...
Saonee Sarker, Suprateek Sarker, Darren B. Nichols...
We present a framework for knowledge transfer from one reinforcement learning task to a related task through advicetaking mechanisms. We discuss the importance of transfer in comp...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
The design and maintenance of an aero-engine generates a significant amount of documentation. When designing new engines, engineers must obtain knowledge gained from maintenance o...
Pooja Jadhav, Sylvia C. Wong, Gary B. Wills, Richa...
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
Technology to support knowledge transfer and cooperative inquiry must offer its users the ability to effectively interpret knowledge structures produced by collaborators. Communic...