Computational Concept of the Psyche

TL;DR

This paper proposes a computational model of the human psyche as an operating system for artificial agents, integrating needs, sensations, and decision-making to develop artificial general intelligence through experiential learning.

Contribution

It introduces a novel cognitive architecture conceptualizing the psyche as a decision-making OS, formalizes AGI creation via experiential learning in a needs-based state space, and presents a minimal experimental implementation.

Findings

A formal model for AGI based on needs and decision-making.

Implementation demonstrating the viability of the proposed architecture.

Insights into optimizing decision-making under uncertainty.

Abstract

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.