Agent-based Simulation Design for Technology Adoption
| Autor: | Bo Nørregaard Jørgensen, Yves Demazeau, Magnus Varbak, Kristoffer Christensen, Zheng Ma |
|---|---|
| Přispěvatelé: | University of Southern Denmark (SDU), Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), The Maersk Mc-Kinney Moller Institute, Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA) |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
education.field_of_study Emerging technologies 020209 energy Population Climate change 02 engineering and technology Environmental economics Investment (macroeconomics) [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Early adopter 020901 industrial engineering & automation [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] 13. Climate action Return on investment 0202 electrical engineering electronic engineering information engineering Political climate education Know-how ComputingMilieux_MISCELLANEOUS |
| Zdroj: | SII Christensen, K, Ma, Z, Værbak, M, Demazeau, Y & Jørgensen, B N 2020, Agent-based Simulation Design for Technology Adoption . in Proceeding of 2020 IEEE/SICE International Symposium on System Integration (SII) . IEEE, pp. 873-878, 2020 IEEE/SICE International Symposium on System Integration (SII), Honolulu, Hawaii, United States, 12/01/2020 . https://doi.org/10.1109/SII46433.2020.9025823 2020 IEEE/SICE International Symposium on System Integration (SII) 2020 IEEE/SICE International Symposium on System Integration (SII), Jan 2020, Honolulu, United States. pp.873-878, ⟨10.1109/SII46433.2020.9025823⟩ |
| DOI: | 10.1109/sii46433.2020.9025823 |
| Popis: | The global consequences of climate change callsfor adoption of new technologies across all sectors of society.However, it is important to know how fast new technologies areadopted to reach the political climate goals. This paperpresents a method for designing agent-based simulations forstudying technology adoption. The method includes the designof simulation population, agent adoption logic, and externalfactors influencing agents’ adoption decisions. A case study ofthe Danish commercial greenhouses’ adoption of a smartenergy solution is investigated. The result is presented withRoger’s technology adoption curve which can be used todemonstrate the desired adoption rate by regulating differentsimulation parameters. The adoption rate of 50% with thereturn on the investment of 3 and 5 years is investigated. Thegreenhouse segment of growing pot plants with an area of morethan 20,000 m2 is found to be the innovators. The simulationresult shows that the population categories of the ‘innovators’,‘early adopters’, and ‘early majority’ don’t change between thereturn on investment time of 3 and 5 years. Furthermore, therelation of the return on investment time and the initial cost isclose to linear. Hence, a lower/higher initial cost will result in ashorter/longer return on investment time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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