Signals and boundaries :: building blocks for complex adaptive systems /
Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals;...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass. :
MIT Press,
©2012.
©2012 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes |
| Beschreibung: | 1 online resource (viii, 308 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 297-301) and index. |
| ISBN: | 0262305895 9780262305891 9780262017831 0262017830 1282133810 9781282133815 9786613806390 6613806390 0262525933 9780262525930 |
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| 100 | 1 | |a Holland, John H. |q (John Henry), |d 1929-2015. |1 https://id.oclc.org/worldcat/entity/E39PBJtRM7DTVc96YCkBF7dJDq |0 http://id.loc.gov/authorities/names/n85324641 | |
| 245 | 1 | 0 | |a Signals and boundaries : |b building blocks for complex adaptive systems / |c John H. Holland. |
| 260 | |a Cambridge, Mass. : |b MIT Press, |c ©2012. | ||
| 264 | 4 | |c ©2012 | |
| 300 | |a 1 online resource (viii, 308 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references (pages 297-301) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Roles of signals and boundaries -- Theory and models: general principles -- Agents and signal processing -- Networks and flows -- Adaptation -- Recombination and reproduction -- Urn models of boundaries -- Boundary hierarchies -- The evolution of niches, a first look -- Language: grammars and niches -- Grammars as finitely generated systems -- An overarching signal/boundary framework -- A dynamic generated system model of ontogeny -- A complete dynamic generated system for signal/boundary studies -- Mathematical models of generated structures -- A short version of the whole. | |
| 520 | |a Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes | ||
| 546 | |a English. | ||
| 650 | 0 | |a Adaptive control systems. |0 http://id.loc.gov/authorities/subjects/sh85000803 | |
| 650 | 0 | |a Adaptation (Biology) |x Mathematical models. | |
| 650 | 0 | |a Signals and signaling |x Mathematical models. | |
| 650 | 6 | |a Systèmes adaptatifs. | |
| 650 | 6 | |a Adaptation (Biologie) |x Modèles mathématiques. | |
| 650 | 6 | |a Signaux et signalisation |x Modèles mathématiques. | |
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| 650 | 7 | |a Adaptive control systems |2 fast | |
| 650 | 7 | |a Signals and signaling |x Mathematical models |2 fast | |
| 653 | |a COGNITIVE SCIENCES/General | ||
| 653 | |a COMPUTER SCIENCE/General | ||
| 776 | 0 | 8 | |i Print version: |a Holland, John H. (John Henry), 1929-2015. |t Signals and boundaries. |d Cambridge, Mass. : MIT Press, ©2012 |z 9780262017831 |w (DLC) 2011052776 |w (OCoLC)775269168 |
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Datensatz im Suchindex
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| adam_text | |
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| author | Holland, John H. (John Henry), 1929-2015 |
| author_GND | http://id.loc.gov/authorities/names/n85324641 |
| author_facet | Holland, John H. (John Henry), 1929-2015 |
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| callnumber-sort | TJ 3217 H644 42012EB |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| collection | ZDB-4-EBA |
| contents | Roles of signals and boundaries -- Theory and models: general principles -- Agents and signal processing -- Networks and flows -- Adaptation -- Recombination and reproduction -- Urn models of boundaries -- Boundary hierarchies -- The evolution of niches, a first look -- Language: grammars and niches -- Grammars as finitely generated systems -- An overarching signal/boundary framework -- A dynamic generated system model of ontogeny -- A complete dynamic generated system for signal/boundary studies -- Mathematical models of generated structures -- A short version of the whole. |
| ctrlnum | (OCoLC)801409259 |
| dewey-full | 003 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003 |
| dewey-search | 003 |
| dewey-sort | 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Adaptive control systems.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85000803</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Adaptation (Biology)</subfield><subfield code="x">Mathematical models.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Signals and signaling</subfield><subfield code="x">Mathematical models.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Systèmes adaptatifs.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Adaptation (Biologie)</subfield><subfield code="x">Modèles mathématiques.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Signaux et signalisation</subfield><subfield code="x">Modèles mathématiques.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SCIENCE</subfield><subfield code="x">System Theory.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING</subfield><subfield code="x">Operations Research.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Adaptation (Biology)</subfield><subfield code="x">Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Adaptive control systems</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Signals and signaling</subfield><subfield code="x">Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">COGNITIVE SCIENCES/General</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">COMPUTER SCIENCE/General</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Holland, John H. 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| id | ZDB-4-EBA-ocn801409259 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:24:51Z |
| institution | BVB |
| isbn | 0262305895 9780262305891 9780262017831 0262017830 1282133810 9781282133815 9786613806390 6613806390 0262525933 9780262525930 |
| language | English |
| oclc_num | 801409259 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (viii, 308 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | MIT Press, |
| record_format | marc |
| spelling | Holland, John H. (John Henry), 1929-2015. https://id.oclc.org/worldcat/entity/E39PBJtRM7DTVc96YCkBF7dJDq http://id.loc.gov/authorities/names/n85324641 Signals and boundaries : building blocks for complex adaptive systems / John H. Holland. Cambridge, Mass. : MIT Press, ©2012. ©2012 1 online resource (viii, 308 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier polychrome rdacc illustration rdaill text file rdaft Includes bibliographical references (pages 297-301) and index. Print version record. Roles of signals and boundaries -- Theory and models: general principles -- Agents and signal processing -- Networks and flows -- Adaptation -- Recombination and reproduction -- Urn models of boundaries -- Boundary hierarchies -- The evolution of niches, a first look -- Language: grammars and niches -- Grammars as finitely generated systems -- An overarching signal/boundary framework -- A dynamic generated system model of ontogeny -- A complete dynamic generated system for signal/boundary studies -- Mathematical models of generated structures -- A short version of the whole. Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes English. Adaptive control systems. http://id.loc.gov/authorities/subjects/sh85000803 Adaptation (Biology) Mathematical models. Signals and signaling Mathematical models. Systèmes adaptatifs. Adaptation (Biologie) Modèles mathématiques. Signaux et signalisation Modèles mathématiques. SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Adaptation (Biology) Mathematical models fast Adaptive control systems fast Signals and signaling Mathematical models fast COGNITIVE SCIENCES/General COMPUTER SCIENCE/General Print version: Holland, John H. (John Henry), 1929-2015. Signals and boundaries. Cambridge, Mass. : MIT Press, ©2012 9780262017831 (DLC) 2011052776 (OCoLC)775269168 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=469254 Volltext |
| spellingShingle | Holland, John H. (John Henry), 1929-2015 Signals and boundaries : building blocks for complex adaptive systems / Roles of signals and boundaries -- Theory and models: general principles -- Agents and signal processing -- Networks and flows -- Adaptation -- Recombination and reproduction -- Urn models of boundaries -- Boundary hierarchies -- The evolution of niches, a first look -- Language: grammars and niches -- Grammars as finitely generated systems -- An overarching signal/boundary framework -- A dynamic generated system model of ontogeny -- A complete dynamic generated system for signal/boundary studies -- Mathematical models of generated structures -- A short version of the whole. Adaptive control systems. http://id.loc.gov/authorities/subjects/sh85000803 Adaptation (Biology) Mathematical models. Signals and signaling Mathematical models. Systèmes adaptatifs. Adaptation (Biologie) Modèles mathématiques. Signaux et signalisation Modèles mathématiques. SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Adaptation (Biology) Mathematical models fast Adaptive control systems fast Signals and signaling Mathematical models fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85000803 |
| title | Signals and boundaries : building blocks for complex adaptive systems / |
| title_auth | Signals and boundaries : building blocks for complex adaptive systems / |
| title_exact_search | Signals and boundaries : building blocks for complex adaptive systems / |
| title_full | Signals and boundaries : building blocks for complex adaptive systems / John H. Holland. |
| title_fullStr | Signals and boundaries : building blocks for complex adaptive systems / John H. Holland. |
| title_full_unstemmed | Signals and boundaries : building blocks for complex adaptive systems / John H. Holland. |
| title_short | Signals and boundaries : |
| title_sort | signals and boundaries building blocks for complex adaptive systems |
| title_sub | building blocks for complex adaptive systems / |
| topic | Adaptive control systems. http://id.loc.gov/authorities/subjects/sh85000803 Adaptation (Biology) Mathematical models. Signals and signaling Mathematical models. Systèmes adaptatifs. Adaptation (Biologie) Modèles mathématiques. Signaux et signalisation Modèles mathématiques. SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Adaptation (Biology) Mathematical models fast Adaptive control systems fast Signals and signaling Mathematical models fast |
| topic_facet | Adaptive control systems. Adaptation (Biology) Mathematical models. Signals and signaling Mathematical models. Systèmes adaptatifs. Adaptation (Biologie) Modèles mathématiques. Signaux et signalisation Modèles mathématiques. SCIENCE System Theory. TECHNOLOGY & ENGINEERING Operations Research. Adaptation (Biology) Mathematical models Adaptive control systems Signals and signaling Mathematical models |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=469254 |
| work_keys_str_mv | AT hollandjohnh signalsandboundariesbuildingblocksforcomplexadaptivesystems |