TitleHandling Uncertainty in the Emergence of Social Conventions
Publication TypeConference Paper
Year of Publication2009
AuthorsSalazar-Ramirez N, Rodríguez-Aguilar JA, Arcos JLluis
Conference NameThird IEEE International Conference on Self-Adaptive and Self-Organizing Systems SASO’09
PublisherIEEE Computer Society
Conference LocationSan Francisco, California, USA
Pagination282-283
Date PublishedSeptember 14-18
Abstract

Current computational models for the emergence of conventions assume that there is no uncertainty regarding the information exchanged between agents. However, in more realistic MAS uncertainty exists, e.g. lies, faulty operation, or communication through noisy channels. Hence, within these settings conventions may fail to emerge. In this work we propose the use of self-tuning capabilities to increase the robustness of an emergence mechanism by allowing agents to dynamically self-protect against unreliable information.