An Evolutionary Framework for Large-Scale Experimentation in Multi-Agent Systems

Alexander Babanov, Wolf Ketter, Maria Gini

Research output: Chapter/Conference proceedingChapterAcademic


We discuss a construction of an evolutionary framework for conducting large-scale experiments in multi-agent systems for applications in electronic marketplaces. We describe how the evolutionary framework could be used as a platform for systematic testing of agent strategies and illustrate the idea with results from a simple supply-demand model. We further explain how to integrate the proposed framework in an existing multi-agent system and demonstrate our approach in the context of MAGNET, a multi-agent system where agents bid over complex combinations of tasks with time and precedence constraints.
Original languageEnglish
Title of host publicationAn Application Science for Multi-Agent Systems
EditorsT. Wagner
Place of PublicationBoston
Number of pages19
Publication statusPublished - 2004
Externally publishedYes

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