UNIVERSITY OF CALGARY Risk Assessment and Management for Efficient Self-Adapting Self-Organizing Emergent Multi-Agent Systems by Jonathan William Hudson A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE

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چکیده

Self-organizing emergent multi-agent systems are a solution to reducing the operational expenditures of complex information technology systems. However, emergent behavior is inherently unpredictable, sacrificing the guarantee of efficiency for flexibility and scalability. The addition of self-adaptation through an Efficiency Improvement Advisor (EIA) provides the ability to increase efficiency with a minimal impact on flexibility. The acceptance of EIA-adapted emergent systems is limited by the unreliability of this efficiency improvement. This thesis introduces the Risk-Aware Efficiency Improvement Advisor (RA-EIA), which allows for the assessment and management of risk from proposed adaptations. Monte Carlo Simulation is used to assess and reduce the frequency of emergent misbehavior, and Evolutionary Learning of Event Sequences is used to assess and reduce the severity of the extent of emergent misbehavior. The evaluation of the RA-EIA, for Pickup and Delivery Problems, demonstrates that the advised system can be trusted for independent, reliable, and efficient long-term operation.

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UNIVERSITY OF CALGARY Risk Assessment and Management for Efficient Self-Adapting Self-Organizing Emergent Multi-Agent Systems by Jonathan William Hudson A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE

Self-organizing emergent multi-agent systems are a solution to reducing the operational expenditures of complex information technology systems. However, emergent behavior is inherently unpredictable, sacrificing the guarantee of efficiency for flexibility and scalability. The addition of self-adaptation through an Efficiency Improvement Advisor (EIA) provides the ability to increase efficiency ...

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تاریخ انتشار 2011