Synopsis
Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations.. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Irina Leonidovna Tarasova (18.02.1955), Ph.D., Docent, is a senior researcher of the laboratory "Smart electromechanical systems" Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences. Corresponding Member of the Metrological Academy He is the author of 135 scientific papers, 10 monographs and registered more than 10 patents. Research interests include mathematical modeling, artificial intelligence, optimal control, identification and diagnostics.
Boris Alexandrovich Kulik (09.03.1941), Dr. Sc. in Physics and Mathematics, is a leading researcher of the laboratory "Smart electromechanical systems" Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences. Corresponding Member of the Metrological Academy. He is the author of 150 scientific papers, 5 monographs. Research interests include artificial intelligence, logical analysis of data and knowledge.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Smart Electromechanical Systems (eng)
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are . N° de réf. du vendeur 1680674155
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions. 265 pp. Englisch. N° de réf. du vendeur 9783031642760
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Smart Electromechanical Systems (Hardcover)
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Hardcover. Etat : new. Hardcover. Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions. Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031642760
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Smart Electromechanical Systems | Mathematical and Software Engineering
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Buch. Etat : Neu. Smart Electromechanical Systems | Mathematical and Software Engineering | Irina Leonidovna Tarasova (u. a.) | Buch | ix | Englisch | 2024 | Springer | EAN 9783031642760 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 129336916
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Smart Electromechanical Systems
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Buch. Etat : Neu. Neuware -Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. N° de réf. du vendeur 9783031642760
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Smart Electromechanical Systems : Mathematical and Software Engineering
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions. N° de réf. du vendeur 9783031642760
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Smart Electromechanical Systems: Mathematical and Software Engineering
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