Denzinger, JörgKidney, Jordan James2017-12-182017-12-182006Kidney, J. J. (2006). Learning of cooperative behavior for multi-agent software testing (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/221http://hdl.handle.net/1880/101222Bibliography: p. 100-104Some pages are in colour.In this thesis work we present a new model for testing complex systems. Our model is based upon using learning of cooperative behavior for testing complex systems. Specifically, we concentrate on the testing of multi-agent systems for high level behavior. Our model includes a multi-agent system that learns the required coordination needed between a group of tester agents to cause a desired behavior to be exhibited in the targeted system. As a test application, we use the Agent Rescue Emergency Simulator (ARES) system. The ARES system presents a simple post urban disaster zone where different agents must work together to save survivors . The ARES system is used to show our model in action as it relates to the testing problems presented by the system.viii, 104 leaves : ill. ; 30 cm.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.master thesishttp://dx.doi.org/10.11575/PRISM/221