Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems
The relationship between individuality and aggregation is an important topic in Complex Systems Science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated c...
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| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Առցանց հասանելիություն: | ONIX_20231130_9783036593098_168 |
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| _version_ | 1869530151107166208 |
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| collection | Directory of Open Access Books |
| description | The relationship between individuality and aggregation is an important topic in Complex Systems Science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated communities. More specifically, boundaries delimiting and interconnecting aggregates are at play. It is, therefore, crucial to define the properties of complex systems correctly, such as generic agent-based models, with which to simulate communities situated in grid- and scale-free network environments. To do this, complexities may be resolved through simulation, modeling and analysis techniques, which help provide confidence regarding the behavior of such systems, especially of those operating in dynamic environments or under unexpected constraints. Moreover, modeling and simulation help reduce the risks and costs involved in the design and development of validation tests. |
| format | Online |
| id | doab-20.500.12854ir-128716 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1287162024-03-30T12:51:30Z Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems Mathieu, Philippe Corchado, Juan M. González-Briones, Alfonso De la Prieta, Fernando disinformation social networks bots model online public opinion group polarization influencing factors power relations eco-conservation high-quality development agent-based model (ABM) composite system balanced indicators modeling and simulation practical formal method multi-resolution discrete event system specification consensus groups agent-based model web of beliefs composite e-commerce platform dual differentiated product innovation product encroachment multi-agent simulation agile development earned value management task board agent-based simulation accounting framework agent automotive electro-mobility financial statement simulation stock flow consistency system dynamics deep reinforcement learning lane-free traffic autonomous driving internet of things (IoT) open multiagent systems smart grid engineering multiagent systems (EMASs) digital twin Cartesian genetic programming multi-agent system COHDA distributed optimization CMA-ES agent coordination multi-agent reinforcement learning centralized learning decentralized execution blockchain software infrastructure costs benefits evaluation multi-agent systems distributed machine learning hyperparameter tuning agent-based optimization random search path allocation fairness constraint optimization satellite constellation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science The relationship between individuality and aggregation is an important topic in Complex Systems Science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated communities. More specifically, boundaries delimiting and interconnecting aggregates are at play. It is, therefore, crucial to define the properties of complex systems correctly, such as generic agent-based models, with which to simulate communities situated in grid- and scale-free network environments. To do this, complexities may be resolved through simulation, modeling and analysis techniques, which help provide confidence regarding the behavior of such systems, especially of those operating in dynamic environments or under unexpected constraints. Moreover, modeling and simulation help reduce the risks and costs involved in the design and development of validation tests. 2023-11-30T20:46:04Z 2023-11-30T20:46:04Z 2023 book ONIX_20231130_9783036593098_168 9783036593098 9783036593081 https://directory.doabooks.org/handle/20.500.12854/128716 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8180 https://mdpi.com/books/pdfview/book/8180 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9308-1 10.3390/books978-3-0365-9308-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036593098 9783036593081 330 Basel open access |
| spellingShingle | disinformation social networks bots model online public opinion group polarization influencing factors power relations eco-conservation high-quality development agent-based model (ABM) composite system balanced indicators modeling and simulation practical formal method multi-resolution discrete event system specification consensus groups agent-based model web of beliefs composite e-commerce platform dual differentiated product innovation product encroachment multi-agent simulation agile development earned value management task board agent-based simulation accounting framework agent automotive electro-mobility financial statement simulation stock flow consistency system dynamics deep reinforcement learning lane-free traffic autonomous driving internet of things (IoT) open multiagent systems smart grid engineering multiagent systems (EMASs) digital twin Cartesian genetic programming multi-agent system COHDA distributed optimization CMA-ES agent coordination multi-agent reinforcement learning centralized learning decentralized execution blockchain software infrastructure costs benefits evaluation multi-agent systems distributed machine learning hyperparameter tuning agent-based optimization random search path allocation fairness constraint optimization satellite constellation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems |
| title | Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems |
| title_full | Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems |
| title_fullStr | Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems |
| title_full_unstemmed | Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems |
| title_short | Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems |
| title_sort | advancements in the practical applications of agents multi agent systems and simulating complex systems |
| topic | disinformation social networks bots model online public opinion group polarization influencing factors power relations eco-conservation high-quality development agent-based model (ABM) composite system balanced indicators modeling and simulation practical formal method multi-resolution discrete event system specification consensus groups agent-based model web of beliefs composite e-commerce platform dual differentiated product innovation product encroachment multi-agent simulation agile development earned value management task board agent-based simulation accounting framework agent automotive electro-mobility financial statement simulation stock flow consistency system dynamics deep reinforcement learning lane-free traffic autonomous driving internet of things (IoT) open multiagent systems smart grid engineering multiagent systems (EMASs) digital twin Cartesian genetic programming multi-agent system COHDA distributed optimization CMA-ES agent coordination multi-agent reinforcement learning centralized learning decentralized execution blockchain software infrastructure costs benefits evaluation multi-agent systems distributed machine learning hyperparameter tuning agent-based optimization random search path allocation fairness constraint optimization satellite constellation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | disinformation social networks bots model online public opinion group polarization influencing factors power relations eco-conservation high-quality development agent-based model (ABM) composite system balanced indicators modeling and simulation practical formal method multi-resolution discrete event system specification consensus groups agent-based model web of beliefs composite e-commerce platform dual differentiated product innovation product encroachment multi-agent simulation agile development earned value management task board agent-based simulation accounting framework agent automotive electro-mobility financial statement simulation stock flow consistency system dynamics deep reinforcement learning lane-free traffic autonomous driving internet of things (IoT) open multiagent systems smart grid engineering multiagent systems (EMASs) digital twin Cartesian genetic programming multi-agent system COHDA distributed optimization CMA-ES agent coordination multi-agent reinforcement learning centralized learning decentralized execution blockchain software infrastructure costs benefits evaluation multi-agent systems distributed machine learning hyperparameter tuning agent-based optimization random search path allocation fairness constraint optimization satellite constellation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20231130_9783036593098_168 |