This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
In the context of the modular and incremental development of complex systems, viewed as interconnections of interacting components, new dimensions and new problems arise in the ca...
We consider the problem of representing plans for mixed-initiative planning, where several participants cooperate to develop plans. We claim that in such an environment, a crucial...
The devastating consequence of secret key exposure in digital signature is that any signature can be forged and cannot be trusted. To mitigate the damage of secret key exposure, f...
Sherman S. M. Chow, H. W. Go, Lucas Chi Kwong Hui,...
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...