Hierarchically intelligent machines [[electronic resource] /] / George N. Saridis

• Autore: Saridis George N. <1931->
• Pubblicazione: River Edge, NJ, : World Scientific, c2001
• Descrizione fisica: 1 online resource (xvi, 126 p. ) : ill
• Disciplina: 629.8
• Soggetto topico: Artificial intelligence; Intelligent control systems
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: This book 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, coordination and execution. Hierarchically Intelligent Machines can serve as a guide to modern intelligent robots.
• Titolo autorizzato: Hierarchically intelligent machines
• ISBN: 1-281-95643-0; 9786611956431; 981-281-082-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910782280503321
• Lo trovi qui: Univ. Federico II