将心理机制建模为智能体的决策系统，实现高效生存与目标达成。
Computational Concept of the Psyche
- 把心理视为智能体的运行系统，以需求状态驱动行为决策。
- 在不确定性下优化决策，兼顾目标达成、风险控制与能量效率。
- 适用于构建具身化人工智能，强调体验学习与生存意义。
本文综述了构建人工心理的多种方法，并提出一种认知架构概念：心理被视为生物或人工主体的操作系统，包含状态空间，其中需求状态决定主体对世界刺激的意义，而智能则是针对行动的决策系统。基于此，提出一种计算形式化框架，通过在包含主体需求的状态空间中进行经验学习，结合需求的生物学或存在意义、主体感知与动作，构建通用人工智能系统。该问题被形式化为在不确定性条件下，于特定主体需求空间中做出最优决策，以最大化目标成功率、最小化生存风险并最大化能量效率。文中展示了一个最小实验实现。
原文摘要 · Abstract (English)
This article presents an overview of approaches to modeling the human psyche in the context of constructing an artificial one. Based on this overview, a concept of cognitive architecture is proposed, in which the psyche is viewed as the operating system of a living or artificial subject, comprising a space of states, including the state of needs that determine the meaning of a subject's being in relation to stimuli from the external world, and intelligence as a decision-making system regarding actions in this world to satisfy these needs. Based on this concept, a computational formalization is proposed for creating artificial general intelligence systems for an agent through experiential learning in a state space that includes agent's needs, taking into account their biological or existential significance for the intelligent agent, along with agent's sensations and actions. Thus, the problem of constructing artificial general intelligence is formalized as a system for making optimal decisions in the space of specific agent needs under conditions of uncertainty, maximizing success in achieving goals, minimizing existential risks, and maximizing energy efficiency. A minimal experimental implementation of the model is presented.
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