An Agent-Based Framework for Complex Networks
Autor: | Maximilian Götzinger, Thilo Sauter, Alexander Wendt |
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Přispěvatelé: | Vienna University of Technology (TU Wien), University of Turku, Danube University Krems, John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis, TC 12, WG 12.5 |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Industry 4.0
Self-adaption Computer science Distributed computing Interoperability Internet of Things 02 engineering and technology computer.software_genre 01 natural sciences Domain (software engineering) ACONA 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] MQTT Distributed application platform Middleware Multi-agent system Communication 010401 analytical chemistry 020207 software engineering Cognitive architecture Complex network 0104 chemical sciences Middleware (distributed applications) computer Evolutionary programming |
Zdroj: | IFIP Advances in Information and Communication Technology 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2019, Hersonissos, Greece. pp.559-570, ⟨10.1007/978-3-030-19823-7_47⟩ IFIP Advances in Information and Communication Technology ISBN: 9783030198220 AIAI |
DOI: | 10.1007/978-3-030-19823-7_47⟩ |
Popis: | Part 11: Multi Agent - IoT; International audience; A large number of research and industrial projects could benefit from a module-based development. However, these modules and the communication between them may vary from project to project. Therefore, a general middleware instead of several specialized middlewares for each domain is desired. This paper presents the ACONA Framework (Agent-based Complex Network Architecture). It is an agent-based middleware with a lightweight and flexible infrastructure. Also, it offers the possibility of evolutionary programming. Its performance is demonstrated in three applications: (i) A cognitive architecture with around 40 interconnected modules; (ii) a stock market simulator with elements of evolutionary programming; and (iii) an industry 4.0 application of a conveyor belt. |
Databáze: | OpenAIRE |
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