Lingua: Inglese
Editore: Information Science Reference, 2017
ISBN 10: 1522527826 ISBN 13: 9781522527824
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Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Information Science Reference, 2017
ISBN 10: 1522527826 ISBN 13: 9781522527824
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Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031642767 ISBN 13: 9783031642760
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Aggiungi al carrelloGebunden. Condizione: 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 .
Lingua: Inglese
Editore: Springer, Springer Aug 2024, 2024
ISBN 10: 3031642767 ISBN 13: 9783031642760
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloBuch. Condizione: 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. 276 pp. Englisch.
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Lingua: Inglese
Editore: Springer, Palgrave Macmillan Aug 2024, 2024
ISBN 10: 3031642767 ISBN 13: 9783031642760
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.
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Lingua: Inglese
Editore: Information Science Reference, 2017
ISBN 10: 1522527826 ISBN 13: 9781522527824
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnMathematics has been used as a tool in logistical reasoning for centuries. Examining how specific mathematic structures can aid in data and knowledge management helps determine how to efficiently and effectively process more infor.
Lingua: Inglese
Editore: Information Science Reference, 2017
ISBN 10: 1522527826 ISBN 13: 9781522527824
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Aggiungi al carrelloBuch. Condizione: Neu. N-ary Relations for Logical Analysis of Data and Knowledge | Boris Kulik (u. a.) | Buch | Gebunden | Englisch | 2017 | Information Science Reference | EAN 9781522527824 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Information Science Reference, 2017
ISBN 10: 1522527826 ISBN 13: 9781522527824
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 289,14
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematics has been used as a tool in logistical reasoning for centuries. Examining how specific mathematic structures can aid in data and knowledge management helps determine how to efficiently and effectively process more information in these fields. N-ary Relations for Logical Analysis of Data and Knowledge is a critical scholarly reference source that provides a detailed study of the mathematical techniques currently involved in the progression of information technology fields. Featuring relevant topics that include algebraic sets, deductive analysis, defeasible reasoning, and probabilistic modeling, this publication is ideal for academicians, students, and researchers who are interested in staying apprised of the latest research in the information technology field.