Swarm intelligence:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Francisco
Morgan Kaufmann Publishers
c2001
|
| Schriftenreihe: | Morgan Kaufmann series in evolutionary computation
|
| Schlagworte: | |
| Online-Zugang: | FAW01 Volltext |
| Beschreibung: | Includes bibliographical references (p. 475-495) and index Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of intelligence can be effectively applied to artificially intelligent systems. The authors first present the foundations of this new approach through an extensive review of the critical literature in social psychology, cognitive science, and evolutionary computation. They then show in detail how these theories and models apply to a new computational intelligence methodologyparticle swarmswhich focuses on adaptation as the key behavior of intelligent systems. Drilling down still further, the authors describe the practical benefits of applying particle swarm optimization to a range of engineering problems. Developed by the authors, this algorithm is an extension of cellular automata and provides a powerful optimization, learning, and problem solving method. This important book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation and by applying these insights to the solving of difficult engineering problems. Researchers and graduate students in any of these disciplines will find the material intriguing, provocative, and revealing as will the curious and savvy computing professional. * Places particle swarms within the larger context of intelligent adaptive behavior and evolutionary computation. * Describes recent results of experiments with the particle swarm optimization (PSO) algorithm * Includes a basic overview of statistics to ensure readers can properly analyze the results of their own experiments using the algorithm. * Support software which can be downloaded from the publishers website, includes a Java PSO applet, C and Visual Basic source code |
| Beschreibung: | 1 Online-Ressource (xxvii, 512 p.) |
| ISBN: | 0080518265 0585448353 1558605959 9780080518268 9780585448350 9781558605954 |
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| 500 | |a Developed by the authors, this algorithm is an extension of cellular automata and provides a powerful optimization, learning, and problem solving method. This important book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation and by applying these insights to the solving of difficult engineering problems. Researchers and graduate students in any of these disciplines will find the material intriguing, provocative, and revealing as will the curious and savvy computing professional. * Places particle swarms within the larger context of intelligent adaptive behavior and evolutionary computation. * Describes recent results of experiments with the particle swarm optimization (PSO) algorithm * Includes a basic overview of statistics to ensure readers can properly analyze the results of their own experiments using the algorithm. | ||
| 500 | |a * Support software which can be downloaded from the publishers website, includes a Java PSO applet, C and Visual Basic source code | ||
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Datensatz im Suchindex
| _version_ | 1804152892497592320 |
|---|---|
| any_adam_object | |
| author | Kennedy, James F. |
| author_facet | Kennedy, James F. |
| author_role | aut |
| author_sort | Kennedy, James F. |
| author_variant | j f k jf jfk |
| building | Verbundindex |
| bvnumber | BV042307324 |
| collection | ZDB-33-ESD |
| ctrlnum | (OCoLC)52365980 (DE-599)BVBBV042307324 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV042307324 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:17:56Z |
| institution | BVB |
| isbn | 0080518265 0585448353 1558605959 9780080518268 9780585448350 9781558605954 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027744316 |
| oclc_num | 52365980 |
| open_access_boolean | |
| owner | DE-1046 |
| owner_facet | DE-1046 |
| physical | 1 Online-Ressource (xxvii, 512 p.) |
| psigel | ZDB-33-ESD FLA_PDA_ESD ZDB-33-ESD FAW_PDA_ESD |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Morgan Kaufmann Publishers |
| record_format | marc |
| series2 | Morgan Kaufmann series in evolutionary computation |
| spelling | Kennedy, James F. Verfasser aut Swarm intelligence James Kennedy, Russell C. Eberhart, with Yuhui Shi San Francisco Morgan Kaufmann Publishers c2001 1 Online-Ressource (xxvii, 512 p.) txt rdacontent c rdamedia cr rdacarrier Morgan Kaufmann series in evolutionary computation Includes bibliographical references (p. 475-495) and index Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of intelligence can be effectively applied to artificially intelligent systems. The authors first present the foundations of this new approach through an extensive review of the critical literature in social psychology, cognitive science, and evolutionary computation. They then show in detail how these theories and models apply to a new computational intelligence methodologyparticle swarmswhich focuses on adaptation as the key behavior of intelligent systems. Drilling down still further, the authors describe the practical benefits of applying particle swarm optimization to a range of engineering problems. Developed by the authors, this algorithm is an extension of cellular automata and provides a powerful optimization, learning, and problem solving method. This important book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation and by applying these insights to the solving of difficult engineering problems. Researchers and graduate students in any of these disciplines will find the material intriguing, provocative, and revealing as will the curious and savvy computing professional. * Places particle swarms within the larger context of intelligent adaptive behavior and evolutionary computation. * Describes recent results of experiments with the particle swarm optimization (PSO) algorithm * Includes a basic overview of statistics to ensure readers can properly analyze the results of their own experiments using the algorithm. * Support software which can be downloaded from the publishers website, includes a Java PSO applet, C and Visual Basic source code COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Sociale interactie gtt Sociale cognitie gtt Kunstmatige intelligentie gtt Programmeren (computers) gtt Zelforganiserende systemen gtt Inteligência artificial larpcal Swarm intelligence local Systems engineering local Distributed artificial intelligence local Swarm intelligence Systems engineering Distributed artificial intelligence Systemanalyse (DE-588)4116673-5 gnd rswk-swf Schwarmintelligenz (DE-588)4793676-9 gnd rswk-swf Verteilte künstliche Intelligenz (DE-588)4281805-9 gnd rswk-swf Intelligenz (DE-588)4027251-5 gnd rswk-swf Schwarm (DE-588)4400212-9 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Selbstorganisation (DE-588)4126830-1 gnd rswk-swf Electronic books Schwarm (DE-588)4400212-9 s Selbstorganisation (DE-588)4126830-1 s Intelligenz (DE-588)4027251-5 s Künstliche Intelligenz (DE-588)4033447-8 s Evolutionärer Algorithmus (DE-588)4366912-8 s 1\p DE-604 Systemanalyse (DE-588)4116673-5 s Verteilte künstliche Intelligenz (DE-588)4281805-9 s 2\p DE-604 Schwarmintelligenz (DE-588)4793676-9 s 3\p DE-604 Eberhart, Russell C. Sonstige oth Shi, Yuhui Sonstige oth http://www.sciencedirect.com/science/book/9781558605954 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kennedy, James F. Swarm intelligence COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Sociale interactie gtt Sociale cognitie gtt Kunstmatige intelligentie gtt Programmeren (computers) gtt Zelforganiserende systemen gtt Inteligência artificial larpcal Swarm intelligence local Systems engineering local Distributed artificial intelligence local Swarm intelligence Systems engineering Distributed artificial intelligence Systemanalyse (DE-588)4116673-5 gnd Schwarmintelligenz (DE-588)4793676-9 gnd Verteilte künstliche Intelligenz (DE-588)4281805-9 gnd Intelligenz (DE-588)4027251-5 gnd Schwarm (DE-588)4400212-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Selbstorganisation (DE-588)4126830-1 gnd |
| subject_GND | (DE-588)4116673-5 (DE-588)4793676-9 (DE-588)4281805-9 (DE-588)4027251-5 (DE-588)4400212-9 (DE-588)4033447-8 (DE-588)4366912-8 (DE-588)4126830-1 |
| title | Swarm intelligence |
| title_auth | Swarm intelligence |
| title_exact_search | Swarm intelligence |
| title_full | Swarm intelligence James Kennedy, Russell C. Eberhart, with Yuhui Shi |
| title_fullStr | Swarm intelligence James Kennedy, Russell C. Eberhart, with Yuhui Shi |
| title_full_unstemmed | Swarm intelligence James Kennedy, Russell C. Eberhart, with Yuhui Shi |
| title_short | Swarm intelligence |
| title_sort | swarm intelligence |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Sociale interactie gtt Sociale cognitie gtt Kunstmatige intelligentie gtt Programmeren (computers) gtt Zelforganiserende systemen gtt Inteligência artificial larpcal Swarm intelligence local Systems engineering local Distributed artificial intelligence local Swarm intelligence Systems engineering Distributed artificial intelligence Systemanalyse (DE-588)4116673-5 gnd Schwarmintelligenz (DE-588)4793676-9 gnd Verteilte künstliche Intelligenz (DE-588)4281805-9 gnd Intelligenz (DE-588)4027251-5 gnd Schwarm (DE-588)4400212-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Selbstorganisation (DE-588)4126830-1 gnd |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Sociale interactie Sociale cognitie Kunstmatige intelligentie Programmeren (computers) Zelforganiserende systemen Inteligência artificial Swarm intelligence Systems engineering Distributed artificial intelligence Systemanalyse Schwarmintelligenz Verteilte künstliche Intelligenz Intelligenz Schwarm Künstliche Intelligenz Evolutionärer Algorithmus Selbstorganisation |
| url | http://www.sciencedirect.com/science/book/9781558605954 |
| work_keys_str_mv | AT kennedyjamesf swarmintelligence AT eberhartrussellc swarmintelligence AT shiyuhui swarmintelligence |