The Weaknesses of Strong Inference
نویسندگان
چکیده
Platt’s 1964 paper “Strong Inference” (SI), published in Science, has had considerable influence upon the conception of the nature of the scientific method held in both the social and physical sciences. Platt suggests that a four-step method of specifying hypotheses and conducting critical experiments that systematically eliminate alternatives has been responsible for progress in the history of the successful sciences and, if adopted, will allow the less successful sciences to make greater progress. This paper criticizes SI on a number of grounds including: 1) no demonstration of the central historical claim, that is, that the more successful sciences actually have utilized this method more frequently than the less successful sciences; 2) poor historiography, in that more faithful explications of some of the historical case studies Platt cites as canonical examples of SI fail to support that SI was actually used in any of these cases; 3) failure to identify other cases of important scientific progress that did not use SI and instead used distinct scientific methods; 4) neglect of the importance and implications of background knowledge used in problem formulation; 5) the impossibility of enumerating a complete set of alternative hypotheses; 6) no acknowledgement of the Quine-Duhem thesis indicating that “critical” experiments are actually logically inconclusive; 7) the assumption that there is one scientific method; and 8) significant ambiguity regarding exactly how each of the four steps of SI is to be faithfully implemented. Some recommendations regarding a normative scientific method are given.
منابع مشابه
A Multiple Adaptive Neuro-Fuzzy Inference System for Predicting ERP Implementation Success
The implementation of modern ERP solutions has introduced tremendous opportunities as well as challenges into the realm of intensely competent businesses. The ERP implementation phase is a very costly and time-consuming process. The failure of the implementation may result in the entire business to fail or to become incompetent. This fact along with the complexity of data streams has led ...
متن کاملDesigning a Fuzzy Inference System to Estimate the Scores of Assessment Centers
One of the methods used to measure and evaluate employees is the assessment center. Assessment centers usually have good validity at the instrumental level, but have weaknesses at the summation level. This research seeks to provide a fuzzy system for estimating AC final scores based on competency, intelligence and personality scores by modeling mentality of experts in this field. For this purpo...
متن کاملThe application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection
In today’s highly rival market, an effective supplier selection process is vital to the success of any manufacturing system. Selecting the appropriate supplier is always a difficult task because suppliers posses varied strengths and weaknesses that necessitate careful evaluations prior to suppliers’ ranking. This is a complex process with many subjective and objective factors to consider ...
متن کاملPotential Assessment of ANNs and Adaptative Neuro Fuzzy Inference systems (ANFIS) for Simulating Soil Temperature at diffrent Soil Profile Depths
Objective: Soil temperature serves as a key variable in hydrological investigations to determine soil moisture content as well as hydrological balance in watersheds. The ingoing research aims to shed lights on potential of artificial neural networks (ANNs) and Neuro-Fuzzy inference system (ANFIS) to simulate soil temperature at 5-100 cm depths. To satisfy this end, climatic and...
متن کاملPotential Assessment of ANNs and Adaptative Neuro Fuzzy Inference systems (ANFIS) for Simulating Soil Temperature at diffrent Soil Profile Depths
Objective: Soil temperature serves as a key variable in hydrological investigations to determine soil moisture content as well as hydrological balance in watersheds. The ingoing research aims to shed lights on potential of artificial neural networks (ANNs) and Neuro-Fuzzy inference system (ANFIS) to simulate soil temperature at 5-100 cm depths. To satisfy this end, climatic and...
متن کاملA Disease Outbreak Prediction Model Using Bayesian Inference: A Case of Influenza
Introduction: One major problem in analyzing epidemic data is the lack of data and high dependency among the available data, which is due to the fact that the epidemic process is not directly observable. Methods: One method for epidemic data analysis to estimate the desired epidemic parameters, such as disease transmission rate and recovery rate, is data ...
متن کامل