无人集群的涌现智能可靠性研究:技术挑战与未来发展OA

As a core frontier of next-generation artificial intelligence,emergent intelligence in unmanned swarms achieves efficient collaboration and intelligent enhancement through biomimetic self-organization and local interactions,demonstrating significant potentials in both military and civilian domains.However,the reliability issues arising from emergence remain a critical bottleneck limiting its operational effectiveness.Guided by the practical need for unmanned swarm systems to evolve from functional realization to reliable emergence,this study analyzes their cross-layer coupling characteristics.Considering multiple constraints in complex dynamic environments,it outlines the emergent reliability issues and technical challenges across communication,perception,and behavioral layers.Based on a three-layer analytical framework of"information communication - perceptual interaction - swarm behavior",this study constructs a research system for the reliability of emergent intelligence.Furthermore,it progressively advances from exploring intrinsic mechanisms and evaluating emergence metrics to analyzing system reliability,proposing a new paradigm of reliability systems engineering for emergent intelligence,characterized by"theoretical modeling-mechanism design-evaluation and verification".This provides systematic theoretical,technical support and engineering solution references for the large-scale,reliable application of intelligent unmanned swarms in complex mission scenarios.