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Authors: Mariachiara Puviani ; Giacomo Cabri and Franco Zambonelli

Affiliation: Università di Modena e Reggio Emilia, Italy

Keyword(s): Adaptation Pattern, Taxonomy, MAS.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Bioinformatics ; Biomedical Engineering ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Informatics in Control, Automation and Robotics ; Information Systems Analysis and Specification ; Intelligent Control Systems and Optimization ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Mobile Agents ; Multi-Agent Systems ; Operational Research ; Robot and Multi-Robot Systems ; Simulation ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: Self-adaptive systems are distributed computing systems composed of different components that can adapt their behavior to different kinds of conditions. This adaptation does not concern the single components only, but the entire system. In a previous work we have identified several patterns for self-adaptation, classifying them by means of a taxonomy, which aims at being a support for developers of self-adaptive systems. Starting from that theoretical work, we have simulated the described self-adaptation patterns, in order to better understand the concrete and real features of each pattern. The contribution of this paper is to report about the simulation work, detailing how it was carried out, and to present a “table of applicability” that completes the initial taxonomy of patterns and provides a further support for the developers.

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Paper citation in several formats:
Puviani, M.; Cabri, G. and Zambonelli, F. (2014). Agent-based Simulations of Patterns for Self-adaptive Systems. In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-015-4; ISSN 2184-433X, SciTePress, pages 190-200. DOI: 10.5220/0004925001900200

@conference{icaart14,
author={Mariachiara Puviani. and Giacomo Cabri. and Franco Zambonelli.},
title={Agent-based Simulations of Patterns for Self-adaptive Systems},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2014},
pages={190-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004925001900200},
isbn={978-989-758-015-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Agent-based Simulations of Patterns for Self-adaptive Systems
SN - 978-989-758-015-4
IS - 2184-433X
AU - Puviani, M.
AU - Cabri, G.
AU - Zambonelli, F.
PY - 2014
SP - 190
EP - 200
DO - 10.5220/0004925001900200
PB - SciTePress