With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
We describe MASTERMIND, a step toward our vision of a knowledge-based design-time and run-time environment where human-computer interfaces development is centered around an all-en...
Robert Neches, James D. Foley, Pedro A. Szekely, P...
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
We present in this paper an adaptive security model for Multi-agent systems. A security meta-model has been developed in which the traditional role concept has been extended. The ...
Liang Xiao 0002, Andrew Peet, Paul H. Lewis, Srina...
A virtual organization (VO) is a dynamic collection of entities (individuals, enterprises, and information resources) collaborating on some computational activity. VOs are an emer...