We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
We propose a self-organizing sleep-wake sensor system that is scalable, easily implemented, and energy conserving. An application of concepts from cellular automata theory account...
Kyung Joon Kwak, Yuliy M. Baryshnikov, Edward G. C...
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
– In this paper, we first describe the concept of data overlay, which is a mechanism to implement arbitrary data structure on top of any structured P2P DHT. With this ion, we dev...
Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into natu...