Designing controllers for modular robots is difficult due to the distributed and dynamic nature of the robots. In this paper fractal gene regulatory networks are evolved to control...
Payam Zahadat, David Johan Christensen, Ulrik Pagh...
Abstract. Population of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indic...
Abstract. Neuromodulators can have a strong effect on how organisms cooperate and compete for resources. To better understand the effect of neuromodulation on cooperative behavior,...
Andrew Zaldivar, Derrik E. Asher, Jeffrey L. Krich...
Playing table tennis is a difficult motor task which requires fast movements, accurate control and adaptation to task parameters. Although human beings see and move slower than mos...
Correlations in traffic patterns are an important facet of the workloads faced by real systems, and one that has far-reaching consequences on the performance and optimization of t...
Varun Gupta, Michelle Burroughs, Mor Harchol-Balte...
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
We consider the server scheduling problem in hybrid P2P networks in the context of a fluid model. Specifically, we examine how to allocate the limited amount of server upload ca...
From a rare events perspective, scheduling disciplines that work well under light (exponential) tailed workload distributions do not perform well under heavy (power) tailed worklo...
In this paper we consider server farms with a setup cost. This model is common in manufacturing systems and data centers, where there is a cost to turn servers on. Setup costs alw...