This paper explores the issues faced in creating a system that can learn tactical human behavior merely by observing a human perform the behavior in a simulation. More specifically, this paper [...]
We introduce an autonomic hardware architecture for self adapting sustainable performance. This architecture utilizes a two-tiered approach to synergize lower-level organic computing elements and [...]
This paper examines some of the constraints on cognition assumed and imposed by the ACT-R and Soar cognitive architectures. In particular, we study how these constraints either encourage or [...]
Cognitive architectures provide a definition of an abstract machine to support programming of cognitive models and intelligent systems. The point of the abstract machine is to provide the most [...]
This paper argues the position that an essential approach to the advancement of the state of the art in cognitive systems is to focus on systems that deeply integrate knowledge representations, [...]
