HOW DOES SCIENCE PREDICT THE FUTURE
In this paper, it is shown that in many cases, science can predict the future. Based on the available information of the real system, the scientific method for future prediction is to develop a virtual model with similar response to the real system. The classical models are usually presented with a...
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| Format: | Article |
| Language: | fas |
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Iran Academy of Science
2020-09-01
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| Series: | آموزش مهندسی ایران |
| Subjects: | |
| Online Access: | http://ijee.ias.ac.ir/article_109564.html?lang=en |
| _version_ | 1797835232392511488 |
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| author | Alli Ghafari Masoud Abdollahi Nia |
| author_facet | Alli Ghafari Masoud Abdollahi Nia |
| author_sort | Alli Ghafari |
| collection | DOAJ |
| description | In this paper, it is shown that in many cases, science can predict the future. Based on the available information of the real system, the scientific method for future prediction is to develop a virtual model with similar response to the real system. The classical models are usually presented with a set of linear / nonlinear, ordinary / partial differential equations. The necessary and sufficient condition for future prediction is given by three axioms; A model with accurate description of the real system, perfect knowledge of the initial conditions, and perfect knowledge of present and future values of inputs to the system. In reality, none of these conditions are perfectly realizable and each axiom has some uncertainties. The failure in future prediction is exactly due to these uncertainties. The model description as the major axiom is always accompanied with uncertainty and although, there is no way to vanish it, there are different methods to reduce it. Soft computing is one of the recent approaches in the past few decades, not only used for modeling of systems in the field of engineering systems, but also used in the field of human sciences such as economy, management and social sciences.
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| first_indexed | 2024-04-09T14:49:49Z |
| format | Article |
| id | doaj.art-4e6959616b0a4cb181681dbcaae16992 |
| institution | Directory Open Access Journal |
| issn | 1607-2316 2676-4881 |
| language | fas |
| last_indexed | 2024-04-09T14:49:49Z |
| publishDate | 2020-09-01 |
| publisher | Iran Academy of Science |
| record_format | Article |
| series | آموزش مهندسی ایران |
| spelling | doaj.art-4e6959616b0a4cb181681dbcaae169922023-05-02T09:34:58ZfasIran Academy of Scienceآموزش مهندسی ایران1607-23162676-48812020-09-01228612010.22047/ijee.2020.158875.1596HOW DOES SCIENCE PREDICT THE FUTURE Alli Ghafari 0 Masoud Abdollahi Nia 1Corresponding Author, Professor, Department of Mechanical Engineering K.N. Toosi University of Technology, Tehran, Iran. E-mail: ghaffari@kntu.ac.irPh.D. Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran. E-mail: abnia.1@gmail.comIn this paper, it is shown that in many cases, science can predict the future. Based on the available information of the real system, the scientific method for future prediction is to develop a virtual model with similar response to the real system. The classical models are usually presented with a set of linear / nonlinear, ordinary / partial differential equations. The necessary and sufficient condition for future prediction is given by three axioms; A model with accurate description of the real system, perfect knowledge of the initial conditions, and perfect knowledge of present and future values of inputs to the system. In reality, none of these conditions are perfectly realizable and each axiom has some uncertainties. The failure in future prediction is exactly due to these uncertainties. The model description as the major axiom is always accompanied with uncertainty and although, there is no way to vanish it, there are different methods to reduce it. Soft computing is one of the recent approaches in the past few decades, not only used for modeling of systems in the field of engineering systems, but also used in the field of human sciences such as economy, management and social sciences. http://ijee.ias.ac.ir/article_109564.html?lang=enprediction of futurevirtual modeluncertaintyinitial conditionsinputscontrol engineering. |
| spellingShingle | Alli Ghafari Masoud Abdollahi Nia HOW DOES SCIENCE PREDICT THE FUTURE آموزش مهندسی ایران prediction of future virtual model uncertainty initial conditions inputs control engineering. |
| title | HOW DOES SCIENCE PREDICT THE FUTURE |
| title_full | HOW DOES SCIENCE PREDICT THE FUTURE |
| title_fullStr | HOW DOES SCIENCE PREDICT THE FUTURE |
| title_full_unstemmed | HOW DOES SCIENCE PREDICT THE FUTURE |
| title_short | HOW DOES SCIENCE PREDICT THE FUTURE |
| title_sort | how does science predict the future |
| topic | prediction of future virtual model uncertainty initial conditions inputs control engineering. |
| url | http://ijee.ias.ac.ir/article_109564.html?lang=en |
| work_keys_str_mv | AT allighafari howdoessciencepredictthefuture AT masoudabdollahinia howdoessciencepredictthefuture |