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严肃游戏：人机交互、演化与协同演化

文章背景与核心概要

本文从演化博弈论（Evolutionary Game Theory, EGT）的视角出发，深入探讨了人机交互中正在涌现的新兴动态。通过对13个EGT模型的审视，作者重点聚焦于三大核心框架——“鹰鸽博弈”、“重复囚徒困境”以及“消耗战”，以此预测人类与人工智能之间的竞争与合作策略、认知协同演化以及资源共享惯例。

该研究融合了心理学、生物学和人工智能的多维视角，结合具说明性的计算模拟，引发了关于人类神经可塑性与不断演化的人工智能系统相结合所带来的深远伦理与认知问题的思考。研究表明，EGT可能为理解和预测人机交互与协同演化提供一个合适的理论框架，同时也呼吁未来研究应超越EGT，探索更多样化的框架、实证验证方法以及跨学科视角。

摘要 (Abstract)

人类与人工智能之间的严肃游戏才刚刚拉开帷幕。演化博弈论（EGT）能够对生物实体的竞争与合作策略进行建模，并有助于预测人类与人工智能潜在的演化平衡。本研究旨在探讨与人机交互、演化及协同演化相关的EGT模型。

在考虑的13个EGT模型中，本文重点检验了其中3个： 1. 鹰鸽博弈（The Hawk-Dove Game）： 根据冲突成本预测平衡的混合策略均衡。 2. 重复囚徒困境（Iterated Prisoner's Dilemma）： 表明重复交互可能会导致认知协同演化。 3. 消耗战（The War of Attrition）： 表明对资源的竞争可能会导致战略协同演化、不对称均衡以及资源共享惯例。

每个模型都从人类和人工智能的决策制定视角、心理学与生物学视角以及人工智能视角进行了剖析。人工智能正在被人类的输入所塑造，并随之不断演化。同样，神经可塑性也使得人类大脑能够对各种刺激做出反应并不断演化。如果未来人类与人工智能实现融合，人类的神经可塑性与不断演化的人工智能相结合将会产生怎样的结果？这其中蕴含着深远的伦理与认知影响。EGT或许能为理解和预测人机交互、演化及协同演化提供一个合适的框架。然而，未来的研究应当超越EGT，去探索更多补充性的框架、实证验证方法以及跨学科视角。本研究秉持进一步探索的精神，提供了一个具说明性的计算模拟。

The serious games between humans and AI have only just begun. Evolutionary Game Theory (EGT) models the competitive and cooperative strategies of biological entities. EGT could help predict the potential evolutionary equilibrium of humans and AI. The objective of this work was to examine EGT models relevant to human-AI interaction, evolution, and co-evolution.

Of thirteen EGT models considered, three were examined: 1. The Hawk-Dove Game: Predicts balanced mixed-strategy equilibria based on the costs of conflict. 2. Iterated Prisoner's Dilemma: Suggests that repeated interaction may lead to cognitive co-evolution. 3. The War of Attrition: Suggests that competition for resources may result in strategic co-evolution, asymmetric equilibria, and conventions on sharing resources.

Each model was examined from the perspective of human and AI decision-making, from psychological and biological perspectives, and from an AI viewpoint. AI is being shaped by human input and is evolving in response to it. So too, neuroplasticity allows the human brain to evolve in response to stimuli. If humans and AI converge in future, what might be the result of human neuroplasticity combined with an ever-evolving AI? There are profound ethical and cognitive implications. EGT may provide a suitable framework to understand and predict human-AI interaction, evolution, and co-evolution. However, future research should extend beyond EGT and explore additional frameworks, empirical validation methods, and interdisciplinary perspectives. In the spirit of further exploration, an illustrative computational simulation is provided.

出版详情 (Publication Details)

  • arXiv 标识符： arXiv:2505.16388 [cs.AI] (v3)
  • 作者：
  • Nandini Doreswamy (1, 2)
  • Louise Horstmanshof (1)
  • (机构：(1) 南十字星大学，澳大利亚新南威尔士州利斯莫尔；(2) 独立学者全国联盟)
  • 提交时间： 2025年5月22日（最后修订：2026年8月7日）
  • 期刊参考： Cureus 2026, 18(8): e114096
  • DOI： 10.7759/cureus.114096
  • arXiv Identifier: arXiv:2505.16388 [cs.AI] (v3)
  • Authors:
  • Nandini Doreswamy (1, 2)
  • Louise Horstmanshof (1)
  • (Affiliations: (1) Southern Cross University, Lismore, New South Wales, Australia; (2) National Coalition of Independent Scholars)
  • Submitted: 22 May 2025 (Last revised: 7 August 2026)
  • Journal Reference: Cureus 2026, 18(8): e114096
  • DOI: 10.7759/cureus.114096

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