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INFORMS
1998
142views more  INFORMS 1998»
13 years 7 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
ZUM
2000
Springer
13 years 11 months ago
Retrenchment, Refinement, and Simulation
: Retrenchment is introduced as a liberalisation of refinement intended to address some of the shortcomings of refinement as sole means of progressing from simple abstract models t...
Richard Banach, Michael Poppleton
NIPS
2000
13 years 8 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
JCNS
2000
165views more  JCNS 2000»
13 years 7 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
SAB
2004
Springer
198views Optimization» more  SAB 2004»
14 years 21 days ago
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Kristina Lerman, Alcherio Martinoli, Aram Galstyan