A4 Refereed article in a conference publication
An Agent-Based Framework for Complex Networks
Authors: Wendt A., Götzinger M., Sauter T.
Editors: John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
Conference name: IFIP International Conference on Artificial Intelligence Applications and Innovations
Publisher: Springer New York LLC
Publication year: 2019
Journal: IFIP Advances in Information and Communication Technology
Book title : Artificial Intelligence Applications and Innovations : 15th IFIP WG 12.5 International Conference, AIAI 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings
Journal name in source: IFIP Advances in Information and Communication Technology
Series title: IFIP Advances in Information and Communication Technology
Volume: 559
ISBN: 978-3-030-19822-0
eISBN: 978-3-030-19823-7
ISSN: 1868-4238
DOI: https://doi.org/10.1007/978-3-030-19823-7_47
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/41068270
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.
Downloadable publication This is an electronic reprint of the original article. |  |
