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» Simple Local Models for Complex Dynamical Systems
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163
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IANDC
2007
152views more  IANDC 2007»
15 years 3 months ago
The reactive simulatability (RSIM) framework for asynchronous systems
We define reactive simulatability for general asynchronous systems. Roughly, simulatability means that a real system implements an ideal system (specification) in a way that pre...
Michael Backes, Birgit Pfitzmann, Michael Waidner
AAMAS
2005
Springer
15 years 3 months ago
Argumentation and the Dynamics of Warranted Beliefs in Changing Environments
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge and beliefs of an agent which performs its tasks in a dynamic environment. New p...
Marcela Capobianco, Carlos Iván Chesñ...
161
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BMCBI
2010
150views more  BMCBI 2010»
15 years 3 months ago
Systematic calibration of a cell signaling network model
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
Kyoung Ae Kim, Sabrina L. Spencer, John G. Albeck,...
156
Voted
JSSPP
2010
Springer
15 years 1 months ago
The Gain of Resource Delegation in Distributed Computing Environments
Abstract. In this paper, we address job scheduling in Distributed Computing Infrastructures, that is a loosely coupled network of autonomous acting High Performance Computing syste...
Alexander Fölling, Christian Grimme, Joachim ...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 9 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox