Abstract In an attempt to provide a unified account for a vast literature discussing a multiplicity of selves, Gallagher (2013) has proposed a pattern theory of self. Subsequent discussion on this account has led to a concern that the pattern theory, as originally presented, stands as a mere list of aspects that fails to explain how they are related in real-time. We suggest that one way to address these criticisms, and further develop the pattern theory of self is by exploring how it can be used to aid research on self in artificial general intelligence, especially in the context of biologically inspired cognitive architectures. We furthermore propose a conceptual implementation for actualizing such research in regards to the LIDA (Learning Intelligent Decision Agent) cognitive model.

中文翻译：

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通用人工智能中的自我模式理论：在受生物启发的认知架构中模拟自我的理论框架

摘要 为了为大量讨论自我多样性的文献提供统一的解释，Gallagher (2013) 提出了一种自我模式理论。对这个帐户的后续讨论引起了这样一种担忧，即最初提出的模式理论仅仅是一个方面列表，无法解释它们如何实时相关。我们建议解决这些批评并进一步发展自我模式理论的一种方法是探索如何将其用于辅助通用人工智能中的自我研究，尤其是在受生物学启发的认知架构的背景下。我们还提出了一个概念性实现，用于在 LIDA（学习智能决策代理）认知模型方面实现此类研究。