Abstract
This paper contributes to the agent-based community by providing a better understanding of error propagation mechanisms in structure self-organization focusing especially on the statistical analysis of experiments. The research was verified based on the experiments conducted on simulation model. The results provide some ideas of robustness - the knowledge how to design the most error resistant architectures in complex environments. Additionally, well-known statistical tests are used to verify the hypothesis. Finally, open research issues with practical relevance are proposed.
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Kukla, G., Król, D. (2009). Errors in Structure Self-organization: Statistical Analysis. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_45
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DOI: https://doi.org/10.1007/978-3-642-01665-3_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01664-6
Online ISBN: 978-3-642-01665-3
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