Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group

March 01, 2019 Β· Declared Dead Β· πŸ› IEEE Access

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Authors Anna Dai, Zhifeng Zhao, Honggang Zhang, Rongpeng Li, Yugeng Zhou arXiv ID 1903.00206 Category cs.AI: Artificial Intelligence Cross-listed cs.MA Citations 10 Venue IEEE Access Last Checked 4 months ago
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 with the improved Anytime Universal Intelligence Test(AUIT), based on 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 the homogeneous ones to analyze the effects of heterogeneity on collective intelligence. Our work will help to understand the essence of collective intelligence more deeply and reveal the effect of various key factors on group intelligence level.
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