A modeling environment for dynamic and adaptive network models implemented in matlab
| Autor: | Mohammadi Ziabari, S. Sahand, Treur, Jan, Yang, Xin-She, Sherratt, Simon, Dey, Nilanjan, Joshi, Amit |
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| Přispěvatelé: | Computer Science, Network Institute, Research Programmes - Computer Science, Yang, Xin-She, Sherratt, Simon, Dey, Nilanjan, Joshi, Amit |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
MATLAB
SDG 16 - Peace Computer science Network adaptation Software environment Temporal-causal network Homophily Software Code (cryptography) Adaptation (computer science) Network-oriented modeling Network model computer.programming_language business.industry SDG 16 - Peace Justice and Strong Institutions Control engineering Adaptive Bonding by homophily Justice and Strong Institutions Hebbian theory business Hebbian learning computer |
| Zdroj: | Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 1, 1, 91-111 Advances in Intelligent Systems and Computing ISBN: 9789811506369 ICICT (1) Mohammadi Ziabari, S S & Treur, J 2020, A modeling environment for dynamic and adaptive network models implemented in matlab . in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Fourth International Congress on Information and Communication Technology : ICICT 2019, London, Volume 1 . vol. 1, Advances in Intelligent Systems and Computing, vol. 1041, Springer, pp. 91-111, 4th International Congress on Information and Communication Technology, ICICT 2019, London, United Kingdom, 27/02/19 . https://doi.org/10.1007/978-981-15-0637-6_8 |
| ISSN: | 2194-5357 |
| DOI: | 10.1007/978-981-15-0637-6_8 |
| Popis: | In this paper, a software environment to support Network-Oriented Modeling is presented. The environment has been implemented in MATLAB. This code covers the principles of temporal-causal network models. The software environment has built-in options for network adaptation principles such as the Hebbian learning principle from neuroscience and the adaptation principle for bonding based on homophily from social science. The implementation is illustrated for an adaptive temporal-causal network model under acute stress for decision-making. |
| Databáze: | OpenAIRE |
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