scholarly journals Global model analysis by parameter space partitioning

2019 ◽  
Author(s):  
Mark A. Pitt ◽  
Woojae Kim ◽  
Danielle Navarro ◽  
Jay I. Myung
Keyword(s):  
Parameter Space ◽  
Model Performance ◽  
Difficult Problem ◽  
Interval Scale ◽  
Space Partitioning ◽  
Know How ◽  
Psychological Models ◽  
Qualitative Level ◽  
The One ◽  
Parameter Space Partitioning

To model behavior, scientists need to know how models behave. This means learning what other behaviors a model can produce besides the one generated by participants in an experiment. This is a difficult problem because of the complexity of psychological models (e.g., their many parameters) and because the behavioral precision of models (e.g., interval-scale performance) often mismatches their testable precision in experiments, where qualitative, ordinal predictions are the norm. Parameter space partitioning is a solution that evaluates model performance at a qualitative level. There exists a partition on the model's parameter space that divides it into regions that correspond to each data pattern. Three application examples demonstrate its potential and versatility for studying the global behavior of psychological models.

scholarly journals Measuring Model Flexibility With Parameter Space Partitioning: An Introduction and Application Example

2008 ◽  
Vol 32 (8) ◽  
pp. 1285-1303 ◽  
Author(s):  
Mark A. Pitt ◽  
Jay I. Myung ◽  
Maximiliano Montenegro ◽  
James Pooley
Keyword(s):  
Parameter Space ◽  
Space Partitioning ◽  
Model Flexibility ◽  
Parameter Space Partitioning

scholarly journals ParaGlide: Interactive Parameter Space Partitioning for Computer Simulations

2013 ◽  
Vol 19 (9) ◽  
pp. 1499-1512 ◽  
Author(s):  
S. Bergner ◽  
M. Sedlmair ◽  
T. Moller ◽  
S. N. Abdolyousefi ◽  
A. Saad
Keyword(s):  
Computer Simulations ◽  
Parameter Space ◽  
Space Partitioning ◽  
Parameter Space Partitioning

scholarly journals Global model analysis by parameter space partitioning.

2006 ◽  
Vol 113 (1) ◽  
pp. 57-83 ◽  
Author(s):  
Mark A. Pitt ◽  
Woojae Kim ◽  
Daniel J. Navarro ◽  
Jay I. Myung
Keyword(s):  
Parameter Space ◽  
Model Analysis ◽  
Global Model ◽  
Space Partitioning ◽  
Parameter Space Partitioning

scholarly journals Using parameter space partitioning to evaluate a model’s qualitative fit

2016 ◽  
Vol 24 (2) ◽  
pp. 617-631 ◽  
Author(s):  
Sara Steegen ◽  
Francis Tuerlinckx ◽  
Wolf Vanpaemel
Keyword(s):  
Parameter Space ◽  
Space Partitioning ◽  
Parameter Space Partitioning

scholarly journals The ScotoSinglet Model: a scalar singlet extension of the Scotogenic Model

2021 ◽  
Vol 2021 (6) ◽  
Author(s):  
Ankit Beniwal ◽  
Juan Herrero-García ◽  
Nicholas Leerdam ◽  
Martin White ◽  
Anthony G. Williams
Keyword(s):  
Parameter Space ◽  
Direct Detection ◽  
Neutrino Masses ◽  
Minimal Models ◽  
Flavour Violation ◽  
The One ◽  
Relic Abundance ◽  
Electroweak Precision ◽  
Scalar Singlet ◽  
Lepton Flavour

Abstract The Scotogenic Model is one of the most minimal models to account for both neutrino masses and dark matter (DM). In this model, neutrino masses are generated at the one-loop level, and in principle, both the lightest fermion singlet and the lightest neutral component of the scalar doublet can be viable DM candidates. However, the correct DM relic abundance can only be obtained in somewhat small regions of the parameter space, as there are strong constraints stemming from lepton flavour violation, neutrino masses, electroweak precision tests and direct detection. For the case of scalar DM, a sufficiently large lepton-number-violating coupling is required, whereas for fermionic DM, coannihilations are typically necessary. In this work, we study how the new scalar singlet modifies the phenomenology of the Scotogenic Model, particularly in the case of scalar DM. We find that the new singlet modifies both the phenomenology of neutrino masses and scalar DM, and opens up a large portion of the parameter space of the original model.

Experimental Validation of Nominal Model Characteristics for Pneumatic Muscle Actuator

2013 ◽  
Vol 460 ◽  
pp. 1-12 ◽  
Author(s):  
Alexander Hošovský ◽  
Kamil Židek
Keyword(s):  
Control System ◽  
Nonlinear Differential Equations ◽  
Model Performance ◽  
Weight Ratio ◽  
Open Loop ◽  
Artificial Muscles ◽  
Pneumatic Actuators ◽  
Intelligent Control System ◽  
Pneumatic Artificial Muscles ◽  
The One

Pneumatic artificial muscles belong to a category of nonconventional pneumatic actuators that are distinctive for their high power/weight ratio, simple construction and low price and maintenance costs. As such, pneumatic artificial muscles represent an alternative type of pneumatic actuator that could replace the traditional ones in certain applications. Due to their specific construction, PAM-based systems have nonlinear characteristics which make it more difficult to design a control system with good performance. In the paper, a gray-box model (basically analytical but with certain experimental parts) of the one degree-of-freedom PAM-based actuator is derived. This model interconnects the description of pneumatic and mechanical part of the system through a set of several nonlinear differential equations and its main purpose is the design of intelligent control system in simulation environment. The model is validated in both open-loop and closed-loop mode using the measurements on real plant and the results confirm that model performance is in good agreement with the performance of real actuator.

scholarly journals DataStorm: Coupled, Continuous Simulations for Complex Urban Environments

2021 ◽  
Vol 2 (3) ◽  
pp. 1-37
Author(s):  
Hans Walter Behrens ◽  
K. Selçuk Candan ◽  
Xilun Chen ◽  
Yash Garg ◽  
Mao-Lin Li ◽  
...  
Keyword(s):  
Parameter Space ◽  
Simulation Analysis ◽  
Urban System ◽  
Decision Criterion ◽  
Urban Environments ◽  
Parallel Execution ◽  
Effective Density ◽  
Urban Systems ◽  
Space Partitioning ◽  
Imperfect Knowledge

Urban systems are characterized by complexity and dynamicity. Data-driven simulations represent a promising approach in understanding and predicting complex dynamic processes in the presence of shifting demands of urban systems. Yet, today’s silo-based, de-coupled simulation engines fail to provide an end-to-end view of the complex urban system, preventing informed decision-making. In this article, we present DataStorm to support integration of existing simulation, analysis and visualization components into integrated workflows. DataStorm provides a flow engine, DataStorm-FE , for coordinating data and decision flows among multiple actors (each representing a model, analytic operation, or a decision criterion) and enables ensemble planning and optimization across cloud resources. DataStorm provides native support for simulation ensemble creation through parameter space sampling to decide which simulations to run, as well as distributed instantiation and parallel execution of simulation instances on cluster resources. Recognizing that simulation ensembles are inherently sparse relative to the potential parameter space, we also present a density-boosting partition-stitch sampling scheme to increase the effective density of the simulation ensemble through a sub-space partitioning scheme, complemented with an efficient stitching mechanism that leverages partial and imperfect knowledge from partial dynamical systems to effectively obtain a global view of the complex urban process being simulated.

Observations of the Earth’s resources

1969 ◽  
Vol 308 (1493) ◽  
pp. 173-182 ◽  
Keyword(s):  
Mineral Exploration ◽  
Geological Mapping ◽  
The Other ◽  
Ground Control ◽  
Great Contribution ◽  
Know How ◽  
Control Information ◽  
The World ◽  
The One ◽  
Effective Development

In attempting to present some observations on the kind of information on the Earth’s resources which may be obtained from spacecraft and space satellites, I think I should explain that I speak as a geographer with research interests in the field of biogeography/geobotany where I have been concerned with the use of vegetation in mineral exploration work and in the assessment of land potential for agricultural and other uses. In the course of this work I have come to appreciate major problems of regional or even continental dimensions and have become aware of the great potential offered by suitably equipped Earth resources satellites for providing information which would assist their solution. At the same time I have come to recognize the great contribution which Earth resources satellites can make in the fields of agriculture, forestry and conservation, topographical and geological mapping, hydrology, oceanography, land use and urban planning, to mention but a few. As a setting for my subsequent remarks I would like to state what I believe to be the relative positions of the U. S. A. and the U. S. S. R. on the one hand and this country and certain West European countries on the other with regard to the acquisition of information from Earth resources satellites. America and Russia have led the world in space research. They have the resources, the facilities and the technical know-how for placing spacecraft and satellites in orbit. For the effective development of Earth resources satellites, however, ground control information is essential. Here this country, together with member and former member countries of the Commonwealth possesses a body of people scattered through universities, government departments and organizations, commerce and industry whose firsthand knowledge of remote terrain in many parts of the world is unrivalled. This knowledge harnessed into an Earth resources satellites programme could enable this country to make a leading contribution to the development of the less developed parts of the world and at the same time materially assist the economy of this country.

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