Artificial Examples of Empirical Equivalence

نویسنده

  • Pablo Acuña
چکیده

In this paper I analyze three artificial examples of empirical equivalence: van Fraassen‟s alternative formulations of Newton‟s theory, the Poincaré-Reichenbach argument for the conventionality of geometry; and predictively equivalent „systems of the world‟. These examples have received attention in the philosophy of science literature because they are supposed to illustrate the connection between predictive equivalence and underdetermination of theory choice. I conclude that this view is wrong. These examples of empirical equivalence are harmless with respect to the problem of underdetermination.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bubble Pressure Prediction of Reservoir Fluids using Artificial Neural Network and Support Vector Machine

Bubble point pressure is an important parameter in equilibrium calculations of reservoir fluids and having other applications in reservoir engineering. In this work, an artificial neural network (ANN) and a least square support vector machine (LS-SVM) have been used to predict the bubble point pressure of reservoir fluids. Also, the accuracy of the models have been compared to two-equation stat...

متن کامل

The Twin Deficits Phenomenon in Some MENA Countries

The main purpose of this paper is analyses the short and long run relationship between budget deficit and trade deficit in some MENA countries. The data cover the period from 1971-2000 (and for I.R. IRAN 1 959-2003).The relationship between these variables will be analyses in short and long run by using Johansen cointegration tests, ECM, and Granger causality test. The empirical evidence provid...

متن کامل

Estimation of Monthly Mean Daily Global Solar Radiation in Tabriz Using Empirical Models and Artificial Neural Networks

Precise knowledge ofthe amount of global solar radiation plays an important role in designing solar energy systems. In this study, by using 22-year meteorologicaldata, 19 empirical models were tested for prediction of the monthly mean daily global solar radiation in Tabriz. In addition, various Artificial Neural Network (ANN) models were designed for comparison with empirical models. For this p...

متن کامل

AN EXTENDED FUZZY ARTIFICIAL NEURAL NETWORKS MODEL FOR TIME SERIES FORECASTING

Improving time series forecastingaccuracy is an important yet often difficult task.Both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. In this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...

متن کامل

NEW OPTIMIZED EQUATIONS WITH INTELLIGENT MODELS FOR PREDICTING HYDRAULIC JUMP CHARACTERISTICS OVER ARTIFICIAL AND NATURAL ROUGH BEDS

The available studies for estimating the characteristics of hydraulic jump are only for artificial or natural beds, and very limited researches have simultaneously considered artificial and natural beds. The aim of this study is to present comprehensive equations and models for predicting the characteristics of hydraulic jump in artificial and natural rough beds with various dimensions, arrange...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014