Controlling Negative Emergent Behavior by Graph Analysis at Runtime

Author:

Kantert Jan1,Tomforde Sven2,Kauder Melanie1,Scharrer Richard1,Edenhofer Sarah2,Hähner Jörg2,Müller-Schloer Christian1

Affiliation:

1. Leibniz University of Hannover, Hanover, Germany

2. University of Augsburg, Augsburg, Germany

Abstract

Self-organized systems typically consist of distributed autonomous entities. An increasing part of such systems is characterized by openness and heterogeneity of participants. For instance, open desktop computing grids provide a framework for unrestrictedly joining in. However, openness and heterogeneity present severe challenges to the overall system’s stability and efficiency since uncooperative and even malicious participants are free to join. A promising solution for this problem is to introduce technical trust as a basis; however, in turn, the utilization of trust opens space for negative emergent behavior. This article introduces a system-wide observation and control loop that influences the self-organized behavior to provide a performant and robust platform for benevolent participants. Thereby, the observation part is responsible for gathering information and deriving a system description. We introduce a graph-based approach to identify groups of suspicious or malicious agents and demonstrate that this clustering process is highly successful for the considered stereotype agent behaviors. In addition, the controller part guides the system behavior by issuing norms that make use of incentives and sanctions. We further present a concept for closing the control loop and show experimental results that highlight the potential benefit of establishing such a control loop.

Funder

German Research Foundation

OC-Trust research unit

Publisher

Association for Computing Machinery (ACM)

Subject

Software,Computer Science (miscellaneous),Control and Systems Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Control Action Types -Patterns of Applied Control for Self-adaptive Systems;2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS);2023-05

2. Integration by Negotiated Behavior Restrictions;2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W);2017-09

3. Identification and classification of agent behaviour at runtime in open, trust-based organic computing systems;Journal of Systems Architecture;2017-04

4. Applications;Autonomic Systems;2017

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