Robot shaping :: an experiment in behavior engineering /
Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction wit...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass. :
MIT Press,
©1998.
©1998 |
| Schriftenreihe: | Intelligent robotics and autonomous agents.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy," and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology. |
| Beschreibung: | "A Bradford book." |
| Beschreibung: | 1 online resource (xviii, 203 pages :) |
| Bibliographie: | Includes bibliographical references (pages 191-199) and index. |
| ISBN: | 0585031037 9780585031033 9780262041645 0262041642 9780262271875 0262271877 |
| Zugangseinschränkungen: | Access restricted to Ryerson students, faculty and staff. |
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| 588 | 0 | |a Print version record. | |
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| 506 | |a Access restricted to Ryerson students, faculty and staff. |5 CaOTR | ||
| 520 | |a Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy," and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology. | ||
| 650 | 0 | |a Robots |x Control systems. |0 http://id.loc.gov/authorities/subjects/sh89001406 | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocm42854442 |
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| _version_ | 1826941525853995008 |
| adam_text | |
| any_adam_object | |
| author | Dorigo, Marco |
| author2 | Colombetti, Marco |
| author2_role | |
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| author_GND | http://id.loc.gov/authorities/names/n97035036 |
| author_facet | Dorigo, Marco Colombetti, Marco |
| author_role | |
| author_sort | Dorigo, Marco |
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| bvnumber | localFWS |
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| callnumber-sort | TJ 3211.35 D67 41998EB |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| collection | ZDB-4-EBA |
| contents | Shaping robots -- Alecsys -- Architectures and shaping policies -- Experiments in simulated worlds -- Experiments in the real world -- Beyond reactive behavior -- The behavior analysis and training methodology -- Final thoughts. |
| ctrlnum | (OCoLC)42854442 |
| dewey-full | 629.8/92 |
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| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8/92 |
| dewey-search | 629.8/92 |
| dewey-sort | 3629.8 292 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy," and dynamic population size. 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| id | ZDB-4-EBA-ocm42854442 |
| illustrated | Illustrated |
| indexdate | 2025-03-18T14:13:30Z |
| institution | BVB |
| isbn | 0585031037 9780585031033 9780262041645 0262041642 9780262271875 0262271877 |
| language | English |
| oclc_num | 42854442 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (xviii, 203 pages :) |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 1998 |
| publishDateSearch | 1998 |
| publishDateSort | 1998 |
| publisher | MIT Press, |
| record_format | marc |
| series | Intelligent robotics and autonomous agents. |
| series2 | Intelligent robotics and autonomous agents |
| spelling | Dorigo, Marco. http://id.loc.gov/authorities/names/n97035036 Robot shaping : an experiment in behavior engineering / Marco Dorigo and Marco Colombetti. Cambridge, Mass. : MIT Press, ©1998. ©1998 1 online resource (xviii, 203 pages :) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Intelligent robotics and autonomous agents "A Bradford book." Includes bibliographical references (pages 191-199) and index. 1. Shaping robots -- 2. Alecsys -- 3. Architectures and shaping policies -- 4. Experiments in simulated worlds -- 5. Experiments in the real world -- 6. Beyond reactive behavior -- 7. The behavior analysis and training methodology -- 8. Final thoughts. Print version record. English. Access restricted to Ryerson students, faculty and staff. CaOTR Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy," and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology. Robots Control systems. http://id.loc.gov/authorities/subjects/sh89001406 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Robots Motion. http://id.loc.gov/authorities/subjects/sh86005656 Robots Systèmes de commande. Apprentissage automatique. Robots Mouvements. TECHNOLOGY & ENGINEERING Robotics. bisacsh Machine learning fast Robots Control systems fast Robots Motion fast COMPUTER SCIENCE/Robotics & Agents Colombetti, Marco. has work: Robot shaping (Text) https://id.oclc.org/worldcat/entity/E39PCFxtwVdkBhkF8DdQrcvfv3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Dorigo, Marco. Robot shaping. Cambridge, Mass. : MIT Press, ©1998 0262041642 (DLC) 97016342 (OCoLC)36705834 Intelligent robotics and autonomous agents. http://id.loc.gov/authorities/names/n98024999 |
| spellingShingle | Dorigo, Marco Robot shaping : an experiment in behavior engineering / Intelligent robotics and autonomous agents. Shaping robots -- Alecsys -- Architectures and shaping policies -- Experiments in simulated worlds -- Experiments in the real world -- Beyond reactive behavior -- The behavior analysis and training methodology -- Final thoughts. Robots Control systems. http://id.loc.gov/authorities/subjects/sh89001406 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Robots Motion. http://id.loc.gov/authorities/subjects/sh86005656 Robots Systèmes de commande. Apprentissage automatique. Robots Mouvements. TECHNOLOGY & ENGINEERING Robotics. bisacsh Machine learning fast Robots Control systems fast Robots Motion fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh89001406 http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh86005656 |
| title | Robot shaping : an experiment in behavior engineering / |
| title_alt | Shaping robots -- Alecsys -- Architectures and shaping policies -- Experiments in simulated worlds -- Experiments in the real world -- Beyond reactive behavior -- The behavior analysis and training methodology -- Final thoughts. |
| title_auth | Robot shaping : an experiment in behavior engineering / |
| title_exact_search | Robot shaping : an experiment in behavior engineering / |
| title_full | Robot shaping : an experiment in behavior engineering / Marco Dorigo and Marco Colombetti. |
| title_fullStr | Robot shaping : an experiment in behavior engineering / Marco Dorigo and Marco Colombetti. |
| title_full_unstemmed | Robot shaping : an experiment in behavior engineering / Marco Dorigo and Marco Colombetti. |
| title_short | Robot shaping : |
| title_sort | robot shaping an experiment in behavior engineering |
| title_sub | an experiment in behavior engineering / |
| topic | Robots Control systems. http://id.loc.gov/authorities/subjects/sh89001406 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Robots Motion. http://id.loc.gov/authorities/subjects/sh86005656 Robots Systèmes de commande. Apprentissage automatique. Robots Mouvements. TECHNOLOGY & ENGINEERING Robotics. bisacsh Machine learning fast Robots Control systems fast Robots Motion fast |
| topic_facet | Robots Control systems. Machine learning. Robots Motion. Robots Systèmes de commande. Apprentissage automatique. Robots Mouvements. TECHNOLOGY & ENGINEERING Robotics. Machine learning Robots Control systems Robots Motion |
| work_keys_str_mv | AT dorigomarco robotshapinganexperimentinbehaviorengineering AT colombettimarco robotshapinganexperimentinbehaviorengineering |