arXiv:2412.20271cs.AIcs.MA2024-12被引 1

高保真共享记忆让群体觅食更高效,提升资源分配公平性。

High-fidelity social learning via shared episodic memories enhances collaborative foraging through mnemonic convergence

  • 用可共享完整行为序列的智能体模拟社会学习
  • 高保真共享使觅食效率提升且资源分配更均衡
  • 适合研究群体认知演化与神经计算模型的读者

社会学习是文化演化的基石,使个体通过观察和模仿他人获取知识。其有效性核心在于情景记忆,能编码特定行为序列以支持学习与决策。本研究探讨情景记忆与集体觅食中社会学习的关系。使用具备情景记忆共享能力的序列情景控制(SEC)智能体,考察社会学习频率与保真度对协作觅食的影响。结果表明,高保真社会学习持续提升资源收集效率与分布均衡性,且在不同记忆长度下均有效;而低保真学习无法超越非社会学习,传播多样但无效的记忆模式。新提出的记忆度量分析显示,高保真学习促进群体记忆对齐与公平分配,低保真则增加记忆多样性却无性能增益。此外,识别出该任务存在最优情景记忆长度,超过后性能趋于平稳。这些发现强调社会学习对记忆群体对齐与分布的关键作用,凸显神经计算模型在探究文化演化认知机制中的潜力。

原文摘要 · Abstract (English)

Social learning, a cornerstone of cultural evolution, enables individuals to acquire knowledge by observing and imitating others. At the heart of its efficacy lies episodic memory, which encodes specific behavioral sequences to facilitate learning and decision-making. This study explores the interrelation between episodic memory and social learning in collective foraging. Using Sequential Episodic Control (SEC) agents capable of sharing complete behavioral sequences stored in episodic memory, we investigate how variations in the frequency and fidelity of social learning influence collaborative foraging performance. Furthermore, we analyze the effects of social learning on the content and distribution of episodic memories across the group. High-fidelity social learning is shown to consistently enhance resource collection efficiency and distribution, with benefits sustained across memory lengths. In contrast, low-fidelity learning fails to outperform nonsocial learning, spreading diverse but ineffective mnemonic patterns. Novel analyses using mnemonic metrics reveal that high-fidelity social learning also fosters mnemonic group alignment and equitable resource distribution, while low-fidelity conditions increase mnemonic diversity without translating to performance gains. Additionally, we identify an optimal range for episodic memory length in this task, beyond which performance plateaus. These findings underscore the critical effects of social learning on mnemonic group alignment and distribution and highlight the potential of neurocomputational models to probe the cognitive mechanisms driving cultural evolution.

社会学习情景记忆群体协作神经计算

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