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An Agent-Based Framework for Complex Networks

Authors :
Maximilian Götzinger
Thilo Sauter
Alexander Wendt
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
Source :
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
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

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.

Details

Language :
English
ISBN :
978-3-030-19822-0
ISBNs :
9783030198220
Database :
OpenAIRE
Journal :
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
Accession number :
edsair.doi.dedup.....bb9174ca0dc0d4836da6abaf2faf8aac
Full Text :
https://doi.org/10.1007/978-3-030-19823-7_47⟩