Intelligent Systems for Engineering: A Knowledge-based Approach
When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe compu...
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Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
London
Springer London
1997
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Schlagwörter: | |
Links: | https://doi.org/10.1007/978-1-4471-0631-9 https://doi.org/10.1007/978-1-4471-0631-9 |
Zusammenfassung: | When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities |
Umfang: | 1 Online-Ressource (XLII, 804 p) |
ISBN: | 9781447106319 |
DOI: | 10.1007/978-1-4471-0631-9 |
Internformat
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520 | |a When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities | ||
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Datensatz im Suchindex
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spelling | Sriram, Ram D. Verfasser aut Intelligent Systems for Engineering A Knowledge-based Approach by Ram D. Sriram London Springer London 1997 1 Online-Ressource (XLII, 804 p) txt rdacontent c rdamedia cr rdacarrier When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities Engineering Engineering Design Artificial Intelligence (incl. Robotics) Complexity Artificial intelligence Complexity, Computational Engineering design Wissensbasiertes System (DE-588)4197554-6 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s 1\p DE-604 Wissensbasiertes System (DE-588)4197554-6 s 2\p DE-604 Erscheint auch als Druck-Ausgabe 9781447111672 https://doi.org/10.1007/978-1-4471-0631-9 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Sriram, Ram D. Intelligent Systems for Engineering A Knowledge-based Approach Engineering Engineering Design Artificial Intelligence (incl. Robotics) Complexity Artificial intelligence Complexity, Computational Engineering design Wissensbasiertes System (DE-588)4197554-6 gnd Neuronales Netz (DE-588)4226127-2 gnd |
subject_GND | (DE-588)4197554-6 (DE-588)4226127-2 |
title | Intelligent Systems for Engineering A Knowledge-based Approach |
title_auth | Intelligent Systems for Engineering A Knowledge-based Approach |
title_exact_search | Intelligent Systems for Engineering A Knowledge-based Approach |
title_full | Intelligent Systems for Engineering A Knowledge-based Approach by Ram D. Sriram |
title_fullStr | Intelligent Systems for Engineering A Knowledge-based Approach by Ram D. Sriram |
title_full_unstemmed | Intelligent Systems for Engineering A Knowledge-based Approach by Ram D. Sriram |
title_short | Intelligent Systems for Engineering |
title_sort | intelligent systems for engineering a knowledge based approach |
title_sub | A Knowledge-based Approach |
topic | Engineering Engineering Design Artificial Intelligence (incl. Robotics) Complexity Artificial intelligence Complexity, Computational Engineering design Wissensbasiertes System (DE-588)4197554-6 gnd Neuronales Netz (DE-588)4226127-2 gnd |
topic_facet | Engineering Engineering Design Artificial Intelligence (incl. Robotics) Complexity Artificial intelligence Complexity, Computational Engineering design Wissensbasiertes System Neuronales Netz |
url | https://doi.org/10.1007/978-1-4471-0631-9 |
work_keys_str_mv | AT sriramramd intelligentsystemsforengineeringaknowledgebasedapproach |