Swarm intelligence:
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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
San Francisco
Morgan Kaufmann Publishers
2001
|
| Schriftenreihe: | Morgan Kaufmann series in evolutionary computation
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781558605954/?ar |
| Zusammenfassung: | 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: | Includes bibliographical references (pages 475-495) and index. - Print version record |
| Umfang: | 1 Online-Ressource (xxvii, 512 Seiten) illustrations |
| ISBN: | 0585448353 9780585448350 9781558605954 1558605959 9780080518268 0080518265 1281186988 9781281186980 9786611186982 6611186980 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-067584497 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228113855.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210811s2001 xx |||||o 00| ||eng c | ||
| 020 | |a 0585448353 |c electronic bk. |9 0-585-44835-3 | ||
| 020 | |a 9780585448350 |c electronic bk. |9 978-0-585-44835-0 | ||
| 020 | |a 9781558605954 |9 978-1-55860-595-4 | ||
| 020 | |a 1558605959 |9 1-55860-595-9 | ||
| 020 | |a 9780080518268 |9 978-0-08-051826-8 | ||
| 020 | |a 0080518265 |9 0-08-051826-5 | ||
| 020 | |a 1281186988 |9 1-281-18698-8 | ||
| 020 | |a 9781281186980 |9 978-1-281-18698-0 | ||
| 020 | |a 9786611186982 |9 9786611186982 | ||
| 020 | |a 6611186980 |9 6611186980 | ||
| 035 | |a (DE-627-1)067584497 | ||
| 035 | |a (DE-599)KEP067584497 | ||
| 035 | |a (ORHE)9781558605954 | ||
| 035 | |a (DE-627-1)067584497 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a COM |2 bisacsh | |
| 072 | 7 | |a COM |2 bisacsh | |
| 082 | 0 | |a 006.3 |2 21 | |
| 100 | 1 | |a Kennedy, James F. |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Swarm intelligence |c James Kennedy, Russell C. Eberhart, with Yuhui Shi |
| 264 | 1 | |a San Francisco |b Morgan Kaufmann Publishers |c 2001 | |
| 300 | |a 1 Online-Ressource (xxvii, 512 Seiten) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Morgan Kaufmann series in evolutionary computation | |
| 500 | |a Includes bibliographical references (pages 475-495) and index. - Print version record | ||
| 520 | |a 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. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Swarm intelligence | |
| 650 | 0 | |a Systems engineering | |
| 650 | 0 | |a Distributed artificial intelligence | |
| 650 | 4 | |a Ingénierie des systèmes | |
| 650 | 4 | |a Intelligence artificielle répartie | |
| 650 | 4 | |a systems engineering | |
| 650 | 4 | |a COMPUTERS ; Enterprise Applications ; Business Intelligence Tools | |
| 650 | 4 | |a COMPUTERS ; Intelligence (AI) & Semantics | |
| 650 | 4 | |a Distributed artificial intelligence | |
| 650 | 4 | |a Swarm intelligence | |
| 650 | 4 | |a Systems engineering | |
| 650 | 4 | |a Sociale interactie | |
| 650 | 4 | |a Sociale cognitie | |
| 650 | 4 | |a Kunstmatige intelligentie | |
| 650 | 4 | |a Programmeren (computers) | |
| 650 | 4 | |a Zelforganiserende systemen | |
| 650 | 4 | |a Inteligência artificial | |
| 700 | 1 | |a Eberhart, Russell C. |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Shi, Yuhui |e MitwirkendeR |4 ctb | |
| 776 | 1 | |z 1558605959 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1558605959 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781558605954/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-067584497 |
|---|---|
| _version_ | 1821494831411625984 |
| adam_text | |
| any_adam_object | |
| author | Kennedy, James F. |
| author2 | Eberhart, Russell C. Shi, Yuhui |
| author2_role | ctb ctb |
| author2_variant | r c e rc rce y s ys |
| author_facet | Kennedy, James F. Eberhart, Russell C. Shi, Yuhui |
| author_role | aut |
| author_sort | Kennedy, James F. |
| author_variant | j f k jf jfk |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)067584497 (DE-599)KEP067584497 (ORHE)9781558605954 |
| 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 |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04696cam a22007452 4500</leader><controlfield tag="001">ZDB-30-ORH-067584497</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228113855.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210811s2001 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0585448353</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-585-44835-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780585448350</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-585-44835-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781558605954</subfield><subfield code="9">978-1-55860-595-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1558605959</subfield><subfield code="9">1-55860-595-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780080518268</subfield><subfield code="9">978-0-08-051826-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0080518265</subfield><subfield code="9">0-08-051826-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1281186988</subfield><subfield code="9">1-281-18698-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781281186980</subfield><subfield code="9">978-1-281-18698-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9786611186982</subfield><subfield code="9">9786611186982</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">6611186980</subfield><subfield code="9">6611186980</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)067584497</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP067584497</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781558605954</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)067584497</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">21</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kennedy, James F.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Swarm intelligence</subfield><subfield code="c">James Kennedy, Russell C. Eberhart, with Yuhui Shi</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">San Francisco</subfield><subfield code="b">Morgan Kaufmann Publishers</subfield><subfield code="c">2001</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxvii, 512 Seiten)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Morgan Kaufmann series in evolutionary computation</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 475-495) and index. - Print version record</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Swarm intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Systems engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Distributed artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ingénierie des systèmes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle répartie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">systems engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; Enterprise Applications ; Business Intelligence Tools</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; Intelligence (AI) & Semantics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Distributed artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Swarm intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systems engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sociale interactie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sociale cognitie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Kunstmatige intelligentie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Programmeren (computers)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Zelforganiserende systemen</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Inteligência artificial</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Eberhart, Russell C.</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shi, Yuhui</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">1558605959</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1558605959</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781558605954/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-067584497 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:20:38Z |
| institution | BVB |
| isbn | 0585448353 9780585448350 9781558605954 1558605959 9780080518268 0080518265 1281186988 9781281186980 9786611186982 6611186980 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xxvii, 512 Seiten) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Morgan Kaufmann Publishers |
| record_format | marc |
| series2 | Morgan Kaufmann series in evolutionary computation |
| spelling | Kennedy, James F. VerfasserIn aut Swarm intelligence James Kennedy, Russell C. Eberhart, with Yuhui Shi San Francisco Morgan Kaufmann Publishers 2001 1 Online-Ressource (xxvii, 512 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Morgan Kaufmann series in evolutionary computation Includes bibliographical references (pages 475-495) and index. - Print version record 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. English. Swarm intelligence Systems engineering Distributed artificial intelligence Ingénierie des systèmes Intelligence artificielle répartie systems engineering COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Sociale interactie Sociale cognitie Kunstmatige intelligentie Programmeren (computers) Zelforganiserende systemen Inteligência artificial Eberhart, Russell C. MitwirkendeR ctb Shi, Yuhui MitwirkendeR ctb 1558605959 Erscheint auch als Druck-Ausgabe 1558605959 |
| spellingShingle | Kennedy, James F. Swarm intelligence Swarm intelligence Systems engineering Distributed artificial intelligence Ingénierie des systèmes Intelligence artificielle répartie systems engineering COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Sociale interactie Sociale cognitie Kunstmatige intelligentie Programmeren (computers) Zelforganiserende systemen Inteligência artificial |
| 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 | Swarm intelligence Systems engineering Distributed artificial intelligence Ingénierie des systèmes Intelligence artificielle répartie systems engineering COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Sociale interactie Sociale cognitie Kunstmatige intelligentie Programmeren (computers) Zelforganiserende systemen Inteligência artificial |
| topic_facet | Swarm intelligence Systems engineering Distributed artificial intelligence Ingénierie des systèmes Intelligence artificielle répartie systems engineering COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Sociale interactie Sociale cognitie Kunstmatige intelligentie Programmeren (computers) Zelforganiserende systemen Inteligência artificial |
| work_keys_str_mv | AT kennedyjamesf swarmintelligence AT eberhartrussellc swarmintelligence AT shiyuhui swarmintelligence |