This paper discusses issues in modeling C4I and cognitive processes in next generation simulations and applications to Force XXI command and control. We propose a modification to ...
Martin S. Kleiner, Scott A. Carey, Joseph E. Beach
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Parallel processing has been proposed as a means of improving network protocol throughput. Several different strategies have been taken towards parallelizing protocols. A relative...
Erich M. Nahum, David J. Yates, James F. Kurose, D...
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
In this paper we present a simple and general new No Free Lunch-like result that applies to revisiting algorithms searching arbitrary problem sets. We begin by unifying the assumpt...