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CONCUR
2000
Springer
15 years 2 months ago
Weak Bisimulation for Probabilistic Systems
Abstract. In this paper, we introduce weak bisimulation in the framework of Labeled Concurrent Markov Chains, that is, probabilistic transition systems which exhibit both probabili...
Anna Philippou, Insup Lee, Oleg Sokolsky
59
Voted
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
14 years 8 months ago
A quadratic regulator-based heuristic for rapidly exploring state space
Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of finding feasible trajectories for rich dynamical systems with complex...
Elena Leah Glassman, Russ Tedrake
ICAC
2008
IEEE
15 years 4 months ago
Digital Evolution of Behavioral Models for Autonomic Systems
We describe an automated method to generating models of an autonomic system. Specifically, we generate UML state diagrams for a set of interacting objects, including the extensio...
Heather Goldsby, Betty H. C. Cheng, Philip K. McKi...
87
Voted
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 1 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
TROB
2008
112views more  TROB 2008»
14 years 10 months ago
A Complete and Scalable Strategy for Coordinating Multiple Robots Within Roadmaps
Abstract--This paper addresses the challenging problem of finding collision-free trajectories for many robots moving toward individual goals within a common environment. Most popul...
Mike Peasgood, Christopher M. Clark, John McPhee