将心理视为智能体的运行系统，用计算框架实现通用人工智能。
Computational Concept of the Psyche (in Russian)
- 把心理看作智能体的运行系统，包含需求空间与决策机制。
- 在不确定性中优化目标达成、降低生存风险、提升能效。
- 适合研究通用人工智能与具身认知的学者参考。
本文从构建人工心理的角度，综述了人类心理建模的方法，并提出一种认知架构：将心理视为生物或人工主体的运行系统，包含由外部刺激决定生活意义的需求空间，以及为满足这些需求而进行决策的智能系统。基于该概念，提出通过经验学习在需求空间中构建人工智能系统的计算形式化方法，关注智能体的生物或存在意义。该模型将通用人工智能问题形式化为在不确定条件下，于智能体特异需求空间中做出最优决策的问题，目标包括最大化目标达成成功率、最小化生存风险、最大化能量效率。同时提供了一个最小实验实现。
原文摘要 · Abstract (English)
The article provides an overview of approaches to modeling the human psyche in the perspective of building an artificial one. Based on the review, a concept of cognitive architecture is proposed, where the psyche is considered as an operating system of a living or artificial subject, including a space of needs that determines its life meanings in connection with stimuli from the external world, and intelligence as a decision-making system for actions in relation to this world in order to satisfy these needs. Based on the concept, a computational formalization is proposed for creating artificial intelligence systems through learning from experience in the space of a space of needs, taking into account their biological or existential significance for an intelligent agent. Thus, the problem of building general artificial intelligence as a system for making optimal decisions in the space of agent-specific needs under conditions of uncertainty is formalized, with maximization of success in achieving goals, minimization of existential risks and maximization of energy efficiency. A minimal experimental implementation of the model is also provided.
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