Hierarchically intelligent machines /:
This work presents the result of 30 years' work on the original material related to "thinking machines", a subject initiated by the author and his colleagues. It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in h...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
River Edge, NJ :
World Scientific,
2001.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This work presents the result of 30 years' work on the original material related to "thinking machines", a subject initiated by the author and his colleagues. It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings. It is arranged in three levels representing the structure of organizational systems: organization, co-ordination and execution. The volume can serve as a guide to modern intelligent robots |
| Beschreibung: | 1 online resource (xvi, 126 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789812810823 981281082X 1281956430 9781281956439 |
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| 245 | 1 | 0 | |a Hierarchically intelligent machines / |c George N. Saridis. |
| 260 | |a River Edge, NJ : |b World Scientific, |c 2001. | ||
| 300 | |a 1 online resource (xvi, 126 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references and index. | ||
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| 520 | |a This work presents the result of 30 years' work on the original material related to "thinking machines", a subject initiated by the author and his colleagues. It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings. It is arranged in three levels representing the structure of organizational systems: organization, co-ordination and execution. The volume can serve as a guide to modern intelligent robots | ||
| 505 | 0 | |a Ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. References. | |
| 650 | 0 | |a Intelligent control systems. |0 http://id.loc.gov/authorities/subjects/sh88003681 | |
| 650 | 0 | |a Artificial intelligence. |0 http://id.loc.gov/authorities/subjects/sh85008180 | |
| 650 | 2 | |a Artificial Intelligence |0 https://id.nlm.nih.gov/mesh/D001185 | |
| 650 | 6 | |a Commande intelligente. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Automation. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Robotics. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Intelligent control systems |2 fast | |
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| author | Saridis, George N., 1931- |
| author_GND | http://id.loc.gov/authorities/names/n83026402 |
| author_facet | Saridis, George N., 1931- |
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| contents | Ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. References. |
| ctrlnum | (OCoLC)268995452 |
| dewey-full | 629.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8 |
| dewey-search | 629.8 |
| dewey-sort | 3629.8 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings. It is arranged in three levels representing the structure of organizational systems: organization, co-ordination and execution. The volume can serve as a guide to modern intelligent robots</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. 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| id | ZDB-4-EBA-ocn268995452 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:33Z |
| institution | BVB |
| isbn | 9789812810823 981281082X 1281956430 9781281956439 |
| language | English |
| oclc_num | 268995452 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xvi, 126 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2001 |
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| publisher | World Scientific, |
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| spelling | Saridis, George N., 1931- https://id.oclc.org/worldcat/entity/E39PCjMxwTQpTppCT3vXGYK7jK http://id.loc.gov/authorities/names/n83026402 Hierarchically intelligent machines / George N. Saridis. River Edge, NJ : World Scientific, 2001. 1 online resource (xvi, 126 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references and index. Print version record. This work presents the result of 30 years' work on the original material related to "thinking machines", a subject initiated by the author and his colleagues. It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings. It is arranged in three levels representing the structure of organizational systems: organization, co-ordination and execution. The volume can serve as a guide to modern intelligent robots Ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. References. Intelligent control systems. http://id.loc.gov/authorities/subjects/sh88003681 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Commande intelligente. Intelligence artificielle. artificial intelligence. aat TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Artificial intelligence fast Intelligent control systems fast has work: Hierarchically intelligent machines (Text) https://id.oclc.org/worldcat/entity/E39PCGTByx4wKwmFfpG8hPxJjC https://id.oclc.org/worldcat/ontology/hasWork Print version: Saridis, George N., 1931- Hierarchically intelligent machines. River Edge, NJ : World Scientific, 2001 9810247907 9789810247904 (DLC) 2002280223 (OCoLC)49597230 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235752 Volltext |
| spellingShingle | Saridis, George N., 1931- Hierarchically intelligent machines / Ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. References. Intelligent control systems. http://id.loc.gov/authorities/subjects/sh88003681 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Commande intelligente. Intelligence artificielle. artificial intelligence. aat TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Artificial intelligence fast Intelligent control systems fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh88003681 http://id.loc.gov/authorities/subjects/sh85008180 https://id.nlm.nih.gov/mesh/D001185 |
| title | Hierarchically intelligent machines / |
| title_auth | Hierarchically intelligent machines / |
| title_exact_search | Hierarchically intelligent machines / |
| title_full | Hierarchically intelligent machines / George N. Saridis. |
| title_fullStr | Hierarchically intelligent machines / George N. Saridis. |
| title_full_unstemmed | Hierarchically intelligent machines / George N. Saridis. |
| title_short | Hierarchically intelligent machines / |
| title_sort | hierarchically intelligent machines |
| topic | Intelligent control systems. http://id.loc.gov/authorities/subjects/sh88003681 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Commande intelligente. Intelligence artificielle. artificial intelligence. aat TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Artificial intelligence fast Intelligent control systems fast |
| topic_facet | Intelligent control systems. Artificial intelligence. Artificial Intelligence Commande intelligente. Intelligence artificielle. artificial intelligence. TECHNOLOGY & ENGINEERING Automation. TECHNOLOGY & ENGINEERING Robotics. Artificial intelligence Intelligent control systems |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235752 |
| work_keys_str_mv | AT saridisgeorgen hierarchicallyintelligentmachines |