Complexity, Criticality and Computation (C³)
Complex systems is a new approach to science, engineering, health and management that studies how relationships between parts give rise to the collective emergent behaviours of the entire system, and how the system interacts with its environment. A system can be thought of as complex if its dynamics...
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| Format: | Online |
| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | 23598 |
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| _version_ | 1869530734903951360 |
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| author | Mikhail Prokopenko (Ed.) |
| author_browse | Mikhail Prokopenko (Ed.) |
| author_facet | Mikhail Prokopenko (Ed.) |
| author_sort | Mikhail Prokopenko (Ed.) |
| collection | Directory of Open Access Books |
| description | Complex systems is a new approach to science, engineering, health and management that studies how relationships between parts give rise to the collective emergent behaviours of the entire system, and how the system interacts with its environment. A system can be thought of as complex if its dynamics cannot be easily predicted, or explained, as a linear summation of the individual dynamics of its components. In other words, the many constituent microscopic parts bring about macroscopic phenomena that cannot be understood by considering a single part alone (“the whole is more than the sum of the parts”). There is a growing awareness that complexity is strongly related to criticality: the behaviour of dynamical spatiotemporal systems at an order/disorder phase transition where scale invariance prevails. Complex systems can also be viewed as distributed information-processing systems. Consciousness emerging from neuronal activity and interactions, cell behaviour resultant from gene regulatory networks and swarming behaviour are all examples of global system behaviour emerging as a result of the local interactions of the individuals (neurons, genes, animals). Can these interactions be seen as a generic computational process? This question shapes the special issue, linking computation to complexity and criticality. |
| format | Online |
| id | doab-20.500.12854ir-43667 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-436672024-04-04T19:19:14Z Complexity, Criticality and Computation (C³) Mikhail Prokopenko (Ed.) QC1-999 multi-agent systems game theory distributed computation phase transitions cellular automata dynamical systems computational epidemiology neuronal networks complex systems swarm optimization free will critical dynamics information information theory echo state networks bic Book Industry Communication::P Mathematics & science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics Complex systems is a new approach to science, engineering, health and management that studies how relationships between parts give rise to the collective emergent behaviours of the entire system, and how the system interacts with its environment. A system can be thought of as complex if its dynamics cannot be easily predicted, or explained, as a linear summation of the individual dynamics of its components. In other words, the many constituent microscopic parts bring about macroscopic phenomena that cannot be understood by considering a single part alone (“the whole is more than the sum of the parts”). There is a growing awareness that complexity is strongly related to criticality: the behaviour of dynamical spatiotemporal systems at an order/disorder phase transition where scale invariance prevails. Complex systems can also be viewed as distributed information-processing systems. Consciousness emerging from neuronal activity and interactions, cell behaviour resultant from gene regulatory networks and swarming behaviour are all examples of global system behaviour emerging as a result of the local interactions of the individuals (neurons, genes, animals). Can these interactions be seen as a generic computational process? This question shapes the special issue, linking computation to complexity and criticality. 2021-02-11T10:16:29Z 2021-02-11T10:16:29Z 2017-10-02 11:37:22 2017 book 23598 9783038425151 9783038425144 https://directory.doabooks.org/handle/20.500.12854/43667 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International http://www.mdpi.com/books/pdfview/book/363 http://www.mdpi.com/books/pdfview/book/363 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03842-515-1 10.3390/books978-3-03842-515-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038425151 9783038425144 VI, 262 open access |
| spellingShingle | QC1-999 multi-agent systems game theory distributed computation phase transitions cellular automata dynamical systems computational epidemiology neuronal networks complex systems swarm optimization free will critical dynamics information information theory echo state networks bic Book Industry Communication::P Mathematics & science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics Mikhail Prokopenko (Ed.) Complexity, Criticality and Computation (C³) |
| title | Complexity, Criticality and Computation (C³) |
| title_full | Complexity, Criticality and Computation (C³) |
| title_fullStr | Complexity, Criticality and Computation (C³) |
| title_full_unstemmed | Complexity, Criticality and Computation (C³) |
| title_short | Complexity, Criticality and Computation (C³) |
| title_sort | complexity criticality and computation c³ |
| topic | QC1-999 multi-agent systems game theory distributed computation phase transitions cellular automata dynamical systems computational epidemiology neuronal networks complex systems swarm optimization free will critical dynamics information information theory echo state networks bic Book Industry Communication::P Mathematics & science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics |
| topic_facet | QC1-999 multi-agent systems game theory distributed computation phase transitions cellular automata dynamical systems computational epidemiology neuronal networks complex systems swarm optimization free will critical dynamics information information theory echo state networks bic Book Industry Communication::P Mathematics & science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics |
| url | 23598 |
| work_keys_str_mv | AT mikhailprokopenkoed complexitycriticalityandcomputationc3 |