scholarly journals The epistemic value of independent lies: false analogies and equivocations

Synthese ◽  
2021 ◽  
Author(s):  
Margherita Harris
Keyword(s):  
Robustness Analysis ◽  
Prima Facie ◽  
Epistemic Value ◽  
Robust Analysis ◽  
Model Based ◽  
Plausible Argument

AbstractHere I critically assess an argument put forward by Kuorikoski et al. (Br J Philos Sci, 61(3):541–567, 2010) for the epistemic import of model-based robustness analysis. I show that this argument is not sound since the sort of probabilistic independence on which it relies is unfeasible. By revising the notion of probabilistic independence imposed on the models’ results, I introduce a prima-facie more plausible argument. However, despite this prima-facie plausibility, I show that even this new argument is unsound in most if not all cases of model-based robustness analysis. This I do to demonstrate that the epistemic import of model-based robust analysis cannot be satisfactorily defended on the basis of probabilistic independence.

Intellectually Virtuous Inquirer and the Practical Value of Truth

2021 ◽  
Vol 58 (4) ◽  
pp. 54-59
Author(s):  
Sergei M. Levin ◽  
Keyword(s):  
Prima Facie ◽  
Epistemic Value ◽  
Practical Reasons ◽  
Circular Reasoning ◽  
Duncan Pritchard ◽  
Different Types ◽  
The Face

Veritism is the thesis that the truth is the fundamental epistemic good. According to Duncan Pritchard, the most pressing objections to veritism are the trivial truths objection and the trivial inquiry problem. The former states that veritism entails that trivial truths are as important as deep and important truths. The latter is a problem that a veritist must prefer trivial inquiry that generates many trivial truths to the serious inquiry with the hope but no guarantee to discover some deep and important truth. Both objections arise from the inability of veritism prima facie to properly rate the different types of truths. Pritchard's solution is to approach the truth from the perspective of the intellectually virtuous inquirer who would prefer weighty truth over trivial truth. In my commentary, I criticise the proposed solution as circular reasoning. The necessary virtue for an intellectually virtuous inquirer is that they would prefer the weighty truth over the trivial one and at the same time, the weighty truth is superior because it is the goal for intellectually virtuous inquirer. I suggest another path to substantiate veritism in the face of the two sibling objections. I argue that truth is the fundamental epistemic good as it makes the epistemic realm practically valuable more than any other epistemic good. The weighty truths are preferable to the trivial ones because the practical value of the deep and important truths is usually higher. The suggested path goes away from the attempts to prove the epistemic value of truth only within the epistemic realm, yet I argue it does not compel the intellectually virtuous inquirer to seek the truth only for the sake of practical reasons.

A Robust Analysis of the General Linear Model Based on One Step R- Estimates

Biometrika ◽  
1978 ◽  
Vol 65 (3) ◽  
pp. 571 ◽  
Author(s):  
Joseph W. McKean ◽  
Thomas P. Hettmansperger
Keyword(s):  
Linear Model ◽  
General Linear Model ◽  
General Linear ◽  
Robust Analysis ◽  
Model Based ◽  
One Step

A robust analysis of the general linear model based on one step R-estimates

Biometrika ◽  
1978 ◽  
Vol 65 (3) ◽  
pp. 571-579 ◽  
Author(s):  
JOSEPH W. MCKEAN ◽  
THOMAS P. HETTMANSPERGER
Keyword(s):  
Linear Model ◽  
General Linear Model ◽  
General Linear ◽  
Robust Analysis ◽  
Model Based ◽  
One Step

scholarly journals Electro-Thermal Model-Based Design of Bidirectional On-Board Chargers in Hybrid and Full Electric Vehicles

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 112
Author(s):  
Pierpaolo Dini ◽  
Sergio Saponara
Keyword(s):  
Thermal Behaviour ◽  
Waiting Times ◽  
Robustness Analysis ◽  
Practical Interest ◽  
Operating Conditions ◽  
Control Loops ◽  
Model Based ◽  
Dual Active Bridge ◽  
Pole Type ◽  
Switching Devices

In this paper, a model-based approach for the design of a bidirectional onboard charger (OBC) device for modern hybrid and fully electrified vehicles is proposed. The main objective and contribution of our study is to incorporate in the same simulation environment both modelling of electrical and thermal behaviour of switching devices. This is because most (if not all) of the studies in the literature present analyses of thermal behaviour based on the use of FEM (Finite Element Method) SWs, which in fact require the definition of complicated models based on partial derivative equations. The simulation of such accurate models is computationally expensive and, therefore, cannot be incorporated into the same virtual environment in which the circuit equations are solved. This requires long waiting times and also means that electrical and thermal models do not interact with each other, limiting the completeness of the analysis in the design phase. As a case study, we take as reference the architecture of a modular bidirectional single-phase OBC, consisting of a Totem Pole-type AC/DC converter with Power Factor Correction (PFC) followed by a Dual Active Bridge (DAB) type DC/DC converter. Specifically, we consider a 7 kW OBC, for which its modules consist of switching devices made with modern 900 V GaN (Gallium Nitrade) and 1200 V SiC (Silicon Carbide) technologies, to achieve maximum performance and efficiency. We present a procedure for sizing and selecting electronic devices based on the analysis of behaviour through circuit models of the Totem Pole PFC and DAB converter in order to perform validation by using simulations that are as realistic as possible. The developed models are tested under various operating conditions of practical interest in order to validate the robustness of the implemented control algorithms under varying operating conditions. The validation of the models and control loops is also enhanced by an exhaustive robustness analysis of the parametric variations of the model with respect to the nominal case. All simulations obtained respect the operating limits of the selected devices and components, for which its characteristics are reported in data sheets both in terms of electrical and thermal behaviour.

PO-1795 diffusion model based target definition for high-grade gliomas: robustness analysis

2021 ◽  
Vol 161 ◽  
pp. S1520-S1522
Author(s):  
W. Häger ◽  
M. Lazzeroni ◽  
M. Astaraki ◽  
I. Toma-Dasu
Keyword(s):  
Diffusion Model ◽  
Robustness Analysis ◽  
High Grade ◽  
Model Based ◽  
Target Definition ◽  
High Grade Gliomas

Robustness Analysis and Improvement of Fault Diagnosis Model for Nuclear Power Plants Based on Random Forest

2021 ◽  
Author(s):  
Jiangkuan Li ◽  
Meng Lin
Keyword(s):  
Fault Diagnosis ◽  
Random Forest ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Robustness Analysis ◽  
Noisy Data ◽  
Data Driven ◽  
Model Based ◽  
Diagnosis Model

Abstract With the development of artificial intelligence technology, data-driven methods have become the core of fault diagnosis models in nuclear power plants. Despite the advantages of high flexibility and practicability, data-driven methods may be sensitive to the noise in measurement data, which is inevitable in the process of data measurement in nuclear power plants, especially under fault conditions. In this paper, a fault diagnosis model based on Random Forest (RF) is established. Firstly, its diagnostic performance on noiseless data and noisy data set containing 13 operating conditions (one steady state condition and 12 fault conditions) is analyzed, which shows that the model based on RF has poor robustness under noisy data. In order to improve the robustness of the model under noisy data, a method named ‘Train with Noisy Data’ (TWND) is proposed, the results show that TWND method can effectively improve the robustness of the model based on RF under noisy data, and the degree of improvement is related to the noise levels of added noisy data. This paper can provide reference for robustness analysis and robustness improvement of nuclear power plants fault diagnosis models based on other data-driven methods.

Model-Based Maneuvering Controls for Autonomous Underwater Vehicles

1992 ◽  
Vol 114 (4) ◽  
pp. 614-622 ◽  
Author(s):  
A. J. Healey
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Reference Model ◽  
Autonomous Underwater Vehicles ◽  
Robustness Analysis ◽  
Underwater Vehicles ◽  
Feedback Systems ◽  
Model Based ◽  
Model Following Control ◽  
Handling Characteristics ◽  
Model Following

This paper proposes the development of a model following autopilot system for an Autonomous Underwater Vehicle (AUV) depth changing control. The parameters to command a maneuver are generated off-line and selected as appropriate by the vehicle’s autonomous control system. A series of such preprogrammed maneuvers can be stored in an on-board computer, and used as command generation systems for the autopilot. The paper presents a linear model following control (LMFC) design based on the open-loop linearized vehicle model as the reference model, a robustness analysis of the scheme and simulation results of response in the diveplane using the full nonlinear vehicle system equations. LMFC has been proposed for aircraft where certain desirable handling characteristics based on an arbitrary model are required or where decoupled control for Control Configured Vehicle (CCV) performance is needed. It is shown here that this model-based LMFC autopilot for underwater vehicles exhibits relatively robust behavior under conditions of parameter uncertainty and non-linearity which is not worse than the equivalent LQR/LTR for linear output feedback systems. Also, a tailored transient response is provided, conducive to near time optimal response.

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