Evaluation of selective distributed discovery within distributed bio-active agent community

The increased demand and complexity of the services operating within open distributed environments has emphasized the need for more robust, adaptive and self-organizing solutions. To address these problems some agent oriented approaches, like the Bio-Networking architecture, have adopted ideas from large scale biological collectives as a solution. However the introduction of biological properties, like birth and death events, generates an extremely dynamic system, making it difficult to maintain the overall connectivity of the agent network and discovery of resources within the system. Towards this end, in this paper the performance of a selective discovery mechanism is evaluated through multi-agent simulation studies. The primary focus of this study is on the impacts which death and (sexual/asexual) reproduction events have on the effectiveness of the discovery process in different overlay networks.