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Title: $Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group
Abstract: Collective intelligence is manifested when multiple agents coherently work in observation, interaction, decision-making and action. In this paper, we define and quantify the intelligence level of heterogeneous agents group organized in a flat structure without explicit leadership by the improved Anytime Universal Intelligence Test (AUIT), an extension of the existing evaluation of homogeneous agents group. The relationship of intelligence level with agents' composition, group size, spatial complexity and testing time is analyzed. The intelligence level of heterogeneous agents groups is compared with that for the homogeneous groups as well, so as to demonstrate the effects of heterogeneity on collective intelligence. Our work will contribute to understand the essence of collective intelligence more deeply and reveal the effect of various key factors on group intelligence level.