An Agent-Based Framework for Complex Networks

Autor: Maximilian Götzinger, Thilo Sauter, Alexander Wendt
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:
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