多模态智能体社会网络:从认知推理到群体涌现OA

With the evolution from artificial intelligence to cognitive intelligence,multimodal large models are experiencing a paradigm transi-tion from single intuitive decision-making to the emergence of swarm intelligence.Aiming at the limitations of traditional thought chain para-digm in dealing with dynamic and complex reasoning tasks,a 5-tier agent technology architecture covering individual cognition,interactive communication,group evolution,system engineering and safety ethics was constructed.Firstly,the key role of structured reasoning and model context protocol under the guidance of visual foresight in eliminating collaboration islands is analyzed at the individual and interaction levels;Secondly,at the group and system level,we explore the evolution law from anti conformity debate to large-scale social simulation,and reveal the self-organization formation mechanism of social norms and group memory;Finally,facing the security challenges in the decentralized net-work,a collaborative alignment and mutual trust mechanism is proposed.By analyzing the cognitive bottleneck of current research in Sim to Real migration,the future vision of the evolution from explicit language to potential spatial communication,and from tool use to tool creation,provides a theoretical basis for building the next generation of social agent system.