Hybrid Solutions for the Modelling of Complex Environmental Systems
Systems studied in environmental science, due to their structure and the heterogeneity of the entities composing them, often exhibit complex dynamics that can only be captured by hybrid modeling approaches. While several concurrent definitions of “hybrid modeling” can be found in the literature, it...
Furkejuvvon:
| Váldodahkkit: | , , |
|---|---|
| Materiálatiipa: | Online |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
Frontiers Media SA
2021
|
| Fáttát: | |
| Liŋkkat: | 22908 |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
|
| _version_ | 1869518489030492160 |
|---|---|
| author | Stefano Mazzoleni Christian E. Vincenot Lael Parrott |
| author_browse | Christian E. Vincenot Lael Parrott Stefano Mazzoleni |
| author_facet | Stefano Mazzoleni Christian E. Vincenot Lael Parrott |
| author_sort | Stefano Mazzoleni |
| collection | Directory of Open Access Books |
| description | Systems studied in environmental science, due to their structure and the heterogeneity of the entities composing them, often exhibit complex dynamics that can only be captured by hybrid modeling approaches. While several concurrent definitions of “hybrid modeling” can be found in the literature, it is defined here broadly as the approach consisting in coupling existing modelling paradigms to achieve a more accurate or efficient representation of systems. The need for hybrid models generally arises from the necessity to overcome the limitation of a single modeling technique in terms of structural flexibility, capabilities, or computational efficiency. This book brings together experts in the field of hybrid modelling to demonstrate how this approach can address the challenge of representing the complexity of natural systems. Chapters cover applied examples as well as modeling methodology.Systems studied in environmental science, due to their structure and the heterogeneity of the entities composing them, often exhibit complex dynamics that can only be captured by hybrid modeling approaches. While several concurrent definitions of “hybrid modeling” can be found in the literature, it is defined here broadly as the approach consisting in coupling existing modelling paradigms to achieve a more accurate or efficient representation of systems. The need for hybrid models generally arises from the necessity to overcome the limitation of a single modeling technique in terms of structural flexibility, capabilities, or computational efficiency. This book brings together experts in the field of hybrid modelling to demonstrate how this approach can address the challenge of representing the complexity of natural systems. Chapters cover applied examples as well as modeling methodology. |
| format | Online |
| id | doab-20.500.12854ir-49704 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-497042024-03-30T02:52:46Z Hybrid Solutions for the Modelling of Complex Environmental Systems Stefano Mazzoleni Christian E. Vincenot Lael Parrott GE1-350 Q1-390 system dynamics Multiscale integration simulation Mixed model hierarchical structure Combined approach machine learning agent-based modelling paradigm shift network thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics Systems studied in environmental science, due to their structure and the heterogeneity of the entities composing them, often exhibit complex dynamics that can only be captured by hybrid modeling approaches. While several concurrent definitions of “hybrid modeling” can be found in the literature, it is defined here broadly as the approach consisting in coupling existing modelling paradigms to achieve a more accurate or efficient representation of systems. The need for hybrid models generally arises from the necessity to overcome the limitation of a single modeling technique in terms of structural flexibility, capabilities, or computational efficiency. This book brings together experts in the field of hybrid modelling to demonstrate how this approach can address the challenge of representing the complexity of natural systems. Chapters cover applied examples as well as modeling methodology.Systems studied in environmental science, due to their structure and the heterogeneity of the entities composing them, often exhibit complex dynamics that can only be captured by hybrid modeling approaches. While several concurrent definitions of “hybrid modeling” can be found in the literature, it is defined here broadly as the approach consisting in coupling existing modelling paradigms to achieve a more accurate or efficient representation of systems. The need for hybrid models generally arises from the necessity to overcome the limitation of a single modeling technique in terms of structural flexibility, capabilities, or computational efficiency. This book brings together experts in the field of hybrid modelling to demonstrate how this approach can address the challenge of representing the complexity of natural systems. Chapters cover applied examples as well as modeling methodology. 2021-02-11T15:40:51Z 2021-02-11T15:40:51Z 2017-07-06 13:27:36 2017 book 22908 16648714 9782889450558 https://directory.doabooks.org/handle/20.500.12854/49704 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Hybrid_Solutions_for_the_Modelling_of_Complex_Environmental_Systems/1087#nogo http://journal.frontiersin.org/researchtopic/3269/hybrid-solutions-for-the-modelling-of-complex-environmental-systems Frontiers Media SA 10.3389/978-2-88945-055-8 10.3389/978-2-88945-055-8 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889450558 184 open access |
| spellingShingle | GE1-350 Q1-390 system dynamics Multiscale integration simulation Mixed model hierarchical structure Combined approach machine learning agent-based modelling paradigm shift network thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics Stefano Mazzoleni Christian E. Vincenot Lael Parrott Hybrid Solutions for the Modelling of Complex Environmental Systems |
| title | Hybrid Solutions for the Modelling of Complex Environmental Systems |
| title_full | Hybrid Solutions for the Modelling of Complex Environmental Systems |
| title_fullStr | Hybrid Solutions for the Modelling of Complex Environmental Systems |
| title_full_unstemmed | Hybrid Solutions for the Modelling of Complex Environmental Systems |
| title_short | Hybrid Solutions for the Modelling of Complex Environmental Systems |
| title_sort | hybrid solutions for the modelling of complex environmental systems |
| topic | GE1-350 Q1-390 system dynamics Multiscale integration simulation Mixed model hierarchical structure Combined approach machine learning agent-based modelling paradigm shift network thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| topic_facet | GE1-350 Q1-390 system dynamics Multiscale integration simulation Mixed model hierarchical structure Combined approach machine learning agent-based modelling paradigm shift network thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| url | 22908 |
| work_keys_str_mv | AT stefanomazzoleni hybridsolutionsforthemodellingofcomplexenvironmentalsystems AT christianevincenot hybridsolutionsforthemodellingofcomplexenvironmentalsystems AT laelparrott hybridsolutionsforthemodellingofcomplexenvironmentalsystems |