Qualitative Modeling of Complex Systems: An Introduction to Loop Analysis and Time Averaging
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, Mass.
Harvard University Press
[1985]
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4159/harvard.9780674435070 https://doi.org/10.4159/harvard.9780674435070 https://doi.org/10.4159/harvard.9780674435070 https://doi.org/10.4159/harvard.9780674435070 https://doi.org/10.4159/harvard.9780674435070 https://doi.org/10.4159/harvard.9780674435070 https://doi.org/10.4159/harvard.9780674435070 |
| Beschreibung: | Num. figs In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Qualitative Modeling of Complex Systems will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Alongside methods that emphasize quantitative properties and the testing of scientific details, there is a need for approaches that are more qualitative. These techniques attempt to cover whole families of models in one bold stroke, in a manner that allows robust conclusions to be drawn about them. Loop analysis and time averaging provide a means of interpreting the properties of systems from the network of interactions within the system. The authors' methodology concentrates on graphical representation to guide experimental design, to identify sources of external variability from the statistical pattern of variables, and to make management decisions. Although most of the examples are drawn from ecology, the methods are relevant to all of the pure and applied sciences. This relevance is enhanced by case studies from such diverse areas as physiology, resource management, the behavioral sciences, and social epidemiology. The book will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology. It will interest undergraduate and graduate students along with researchers active in these disciplines. Here the reader will find a strong rationale for maintaining a holistic approach, revealing what insights and advantages are retained by the broader perspective and, more explicitly, by the synergistic effects that cannot be discerned by reducing systems to their smallest parts |
| Umfang: | 1 Online-Ressource (viii,259p.) |
| ISBN: | 9780674435070 |
| DOI: | 10.4159/harvard.9780674435070 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042344911 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150212s1985 xx o|||| 00||| eng d | ||
| 020 | |a 9780674435070 |9 978-0-674-43507-0 | ||
| 024 | 7 | |a 10.4159/harvard.9780674435070 |2 doi | |
| 035 | |a (OCoLC)897163817 | ||
| 035 | |a (DE-599)BVBBV042344911 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-859 |a DE-860 |a DE-739 |a DE-1046 |a DE-1043 |a DE-858 | ||
| 082 | 0 | |a 511/.8 | |
| 100 | 1 | |a Puccia, Charles J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Qualitative Modeling of Complex Systems |b An Introduction to Loop Analysis and Time Averaging |c Charles J. Puccia, Richard Levins |
| 264 | 1 | |a Cambridge, Mass. |b Harvard University Press |c [1985] | |
| 300 | |a 1 Online-Ressource (viii,259p.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Num. figs | ||
| 500 | |a In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Qualitative Modeling of Complex Systems will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology | ||
| 500 | |a In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Alongside methods that emphasize quantitative properties and the testing of scientific details, there is a need for approaches that are more qualitative. These techniques attempt to cover whole families of models in one bold stroke, in a manner that allows robust conclusions to be drawn about them. Loop analysis and time averaging provide a means of interpreting the properties of systems from the network of interactions within the system. The authors' methodology concentrates on graphical representation to guide experimental design, to identify sources of external variability from the statistical pattern of variables, and to make management decisions. Although most of the examples are drawn from ecology, the methods are relevant to all of the pure and applied sciences. This relevance is enhanced by case studies from such diverse areas as physiology, resource management, the behavioral sciences, and social epidemiology. The book will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology. It will interest undergraduate and graduate students along with researchers active in these disciplines. Here the reader will find a strong rationale for maintaining a holistic approach, revealing what insights and advantages are retained by the broader perspective and, more explicitly, by the synergistic effects that cannot be discerned by reducing systems to their smallest parts | ||
| 546 | |a In English | ||
| 650 | 4 | |a Mathematik | |
| 650 | 4 | |a System analysis | |
| 650 | 4 | |a Systèmes, Analyse de | |
| 650 | 0 | 7 | |a Qualitative Daten |0 (DE-588)4176592-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mathematisches Modell |0 (DE-588)4114528-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Qualitative Daten |0 (DE-588)4176592-8 |D s |
| 689 | 0 | 1 | |a Mathematisches Modell |0 (DE-588)4114528-8 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Levins, Richard |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-0-674-43506-3 |
| 856 | 4 | 0 | |u https://doi.org/10.4159/harvard.9780674435070 |x Verlag |3 Volltext |
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 912 | |a ZDB-23-DGG | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-027781392 | |
| 966 | e | |u https://doi.org/10.4159/harvard.9780674435070 |l DE-1043 |p ZDB-23-DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4159/harvard.9780674435070 |l DE-1046 |p ZDB-23-DGG |q FAW_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4159/harvard.9780674435070 |l DE-858 |p ZDB-23-DGG |q FCO_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4159/harvard.9780674435070 |l DE-859 |p ZDB-23-DGG |q FKE_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4159/harvard.9780674435070 |l DE-860 |p ZDB-23-DGG |q FLA_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4159/harvard.9780674435070 |l DE-739 |p ZDB-23-DGG |q UPA_PDA_DGG |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1824438057900703744 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Puccia, Charles J. |
| author_facet | Puccia, Charles J. |
| author_role | aut |
| author_sort | Puccia, Charles J. |
| author_variant | c j p cj cjp |
| building | Verbundindex |
| bvnumber | BV042344911 |
| collection | ZDB-23-DGG |
| ctrlnum | (OCoLC)897163817 (DE-599)BVBBV042344911 |
| dewey-full | 511/.8 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 511 - General principles of mathematics |
| dewey-raw | 511/.8 |
| dewey-search | 511/.8 |
| dewey-sort | 3511 18 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.4159/harvard.9780674435070 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV042344911</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150212s1985 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780674435070</subfield><subfield code="9">978-0-674-43507-0</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4159/harvard.9780674435070</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)897163817</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042344911</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-859</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-858</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">511/.8</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Puccia, Charles J.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Qualitative Modeling of Complex Systems</subfield><subfield code="b">An Introduction to Loop Analysis and Time Averaging</subfield><subfield code="c">Charles J. Puccia, Richard Levins</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Mass.</subfield><subfield code="b">Harvard University Press</subfield><subfield code="c">[1985]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (viii,259p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Num. figs</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Qualitative Modeling of Complex Systems will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Alongside methods that emphasize quantitative properties and the testing of scientific details, there is a need for approaches that are more qualitative. These techniques attempt to cover whole families of models in one bold stroke, in a manner that allows robust conclusions to be drawn about them. Loop analysis and time averaging provide a means of interpreting the properties of systems from the network of interactions within the system. The authors' methodology concentrates on graphical representation to guide experimental design, to identify sources of external variability from the statistical pattern of variables, and to make management decisions. Although most of the examples are drawn from ecology, the methods are relevant to all of the pure and applied sciences. This relevance is enhanced by case studies from such diverse areas as physiology, resource management, the behavioral sciences, and social epidemiology. The book will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology. It will interest undergraduate and graduate students along with researchers active in these disciplines. Here the reader will find a strong rationale for maintaining a holistic approach, revealing what insights and advantages are retained by the broader perspective and, more explicitly, by the synergistic effects that cannot be discerned by reducing systems to their smallest parts</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematik</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">System analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systèmes, Analyse de</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Qualitative Daten</subfield><subfield code="0">(DE-588)4176592-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mathematisches Modell</subfield><subfield code="0">(DE-588)4114528-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Qualitative Daten</subfield><subfield code="0">(DE-588)4176592-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Mathematisches Modell</subfield><subfield code="0">(DE-588)4114528-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Levins, Richard</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-0-674-43506-3</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4159/harvard.9780674435070</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027781392</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4159/harvard.9780674435070</subfield><subfield code="l">DE-1043</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4159/harvard.9780674435070</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FAW_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4159/harvard.9780674435070</subfield><subfield code="l">DE-858</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FCO_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4159/harvard.9780674435070</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FKE_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4159/harvard.9780674435070</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FLA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4159/harvard.9780674435070</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">UPA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV042344911 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-18T23:01:57Z |
| institution | BVB |
| isbn | 9780674435070 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027781392 |
| oclc_num | 897163817 |
| open_access_boolean | |
| owner | DE-859 DE-860 DE-739 DE-1046 DE-1043 DE-858 |
| owner_facet | DE-859 DE-860 DE-739 DE-1046 DE-1043 DE-858 |
| physical | 1 Online-Ressource (viii,259p.) |
| psigel | ZDB-23-DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DGG UPA_PDA_DGG |
| publishDate | 1985 |
| publishDateSearch | 1985 |
| publishDateSort | 1985 |
| publisher | Harvard University Press |
| record_format | marc |
| spelling | Puccia, Charles J. Verfasser aut Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging Charles J. Puccia, Richard Levins Cambridge, Mass. Harvard University Press [1985] 1 Online-Ressource (viii,259p.) txt rdacontent c rdamedia cr rdacarrier Num. figs In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Qualitative Modeling of Complex Systems will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology In this modern era of mathematical modeling, applications have become increasingly complicated. As the complexity grows, it becomes more and more difficult to draw meaningful conclusions about the behavior of theoretical models and their relations to reality. Alongside methods that emphasize quantitative properties and the testing of scientific details, there is a need for approaches that are more qualitative. These techniques attempt to cover whole families of models in one bold stroke, in a manner that allows robust conclusions to be drawn about them. Loop analysis and time averaging provide a means of interpreting the properties of systems from the network of interactions within the system. The authors' methodology concentrates on graphical representation to guide experimental design, to identify sources of external variability from the statistical pattern of variables, and to make management decisions. Although most of the examples are drawn from ecology, the methods are relevant to all of the pure and applied sciences. This relevance is enhanced by case studies from such diverse areas as physiology, resource management, the behavioral sciences, and social epidemiology. The book will be useful to a broad readership from the biological and social sciences as well as the physical sciences and technology. It will interest undergraduate and graduate students along with researchers active in these disciplines. Here the reader will find a strong rationale for maintaining a holistic approach, revealing what insights and advantages are retained by the broader perspective and, more explicitly, by the synergistic effects that cannot be discerned by reducing systems to their smallest parts In English Mathematik System analysis Systèmes, Analyse de Qualitative Daten (DE-588)4176592-8 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Qualitative Daten (DE-588)4176592-8 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Levins, Richard Sonstige oth Erscheint auch als Druckausgabe 978-0-674-43506-3 https://doi.org/10.4159/harvard.9780674435070 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Puccia, Charles J. Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging Mathematik System analysis Systèmes, Analyse de Qualitative Daten (DE-588)4176592-8 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4176592-8 (DE-588)4114528-8 |
| title | Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging |
| title_auth | Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging |
| title_exact_search | Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging |
| title_full | Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging Charles J. Puccia, Richard Levins |
| title_fullStr | Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging Charles J. Puccia, Richard Levins |
| title_full_unstemmed | Qualitative Modeling of Complex Systems An Introduction to Loop Analysis and Time Averaging Charles J. Puccia, Richard Levins |
| title_short | Qualitative Modeling of Complex Systems |
| title_sort | qualitative modeling of complex systems an introduction to loop analysis and time averaging |
| title_sub | An Introduction to Loop Analysis and Time Averaging |
| topic | Mathematik System analysis Systèmes, Analyse de Qualitative Daten (DE-588)4176592-8 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Mathematik System analysis Systèmes, Analyse de Qualitative Daten Mathematisches Modell |
| url | https://doi.org/10.4159/harvard.9780674435070 |
| work_keys_str_mv | AT pucciacharlesj qualitativemodelingofcomplexsystemsanintroductiontoloopanalysisandtimeaveraging AT levinsrichard qualitativemodelingofcomplexsystemsanintroductiontoloopanalysisandtimeaveraging |