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Computer Science > Multiagent Systems

arXiv:2409.06750 (cs)
[Submitted on 10 Sep 2024]

Title:Can Agents Spontaneously Form a Society? Introducing a Novel
Architecture for Generative Multi-Agents to Elicit Social Emergence

Authors:H. Zhang, J. Yin, M. Jiang, C. Su
View a PDF of the paper titled Can Agents Spontaneously Form a
Society? Introducing a Novel Architecture for Generative Multi-Agents
to Elicit Social Emergence, by H. Zhang and 3 other authors
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    Abstract:Generative agents have demonstrated impressive
    capabilities in specific tasks, but most of these frameworks
    focus on independent tasks and lack attention to social
    interactions. We introduce a generative agent architecture called
    ITCMA-S, which includes a basic framework for individual agents
    and a framework called LTRHA that supports social interactions
    among multi-agents. This architecture enables agents to identify
    and filter out behaviors that are detrimental to social
    interactions, guiding them to choose more favorable actions. We
    designed a sandbox environment to simulate the natural evolution
    of social relationships among multiple identity-less agents for
    experimental evaluation. The results showed that ITCMA-S
    performed well on multiple evaluation indicators, demonstrating
    its ability to actively explore the environment, recognize new
    agents, and acquire new information through continuous actions
    and dialogue. Observations show that as agents establish
    connections with each other, they spontaneously form cliques with
    internal hierarchies around a selected leader and organize
    collective activities.

Comments:    13 pages, 8 figures
             Multiagent Systems (cs.MA); Artificial Intelligence
Subjects:    (cs.AI); Human-Computer Interaction (cs.HC); Machine
             Learning (cs.LG)
MSC classes: 68T42
ACM classes: I.2.7; J.4
Cite as:     arXiv:2409.06750 [cs.MA]
             (or arXiv:2409.06750v1 [cs.MA] for this version)
             https://doi.org/10.48550/arXiv.2409.06750
             Focus to learn more
             arXiv-issued DOI via DataCite

Submission history

From: Hanzhong Zhang [view email]
[v1] Tue, 10 Sep 2024 13:39:29 UTC (12,359 KB)
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    Multi-Agents to Elicit Social Emergence, by H. Zhang and 3 other
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