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ISTA
2004
15 years 5 months ago
Enterprise Architecture Modeling using Agent Paradigm
: New approaches to modeling and design of enterprise systems must enable enterprises to offer dramatically improved capabilities including more effective enterprise architectures,...
Olfa Lamouchi, Amar Ramdane-Cherif, Nicole L&eacut...
JCB
2006
185views more  JCB 2006»
15 years 3 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
JAIR
2002
120views more  JAIR 2002»
15 years 3 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
125
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WSC
2008
15 years 6 months ago
Using data driven simulation to build inventory model
Many general-purpose simulation languages (such as ARENA, SLAM II, GPSS/H, SIMAN etc) have been the major simulation tools to simulate the demand-supply processes. They have made ...
Minghui Yang
EUROS
2008
194views Robotics» more  EUROS 2008»
15 years 5 months ago
Compiling POMDP Models for a Multimodal Service Robot from Background Knowledge
This paper presents an approach to create POMDP models, used for decision making by an autonomous service robot, from background knowledge. This allows the power of POMDP decision ...
Sven R. Schmidt-Rohr, Rainer Jäkel, Martin L&...