Ultimate Intelligence Part III: Measures of Intelligence, Perception and Intelligent Agents

TL;DR

This paper introduces operator induction as a comprehensive model for perception and intelligent agents, proposing a universal measure of its fitness and demonstrating its application in reinforcement learning and self-preserving agents based on the free energy principle.

Contribution

It presents a novel framework linking perception, agent modeling, and reinforcement learning through operator induction, including a universal fitness measure and its application to homeostasis.

Findings

Operator induction effectively models perception and agent behavior.

A universal measure of operator induction fitness is proposed.

Application to reinforcement learning and homeostasis demonstrates practical utility.

Abstract

We propose that operator induction serves as an adequate model of perception. We explain how to reduce universal agent models to operator induction. We propose a universal measure of operator induction fitness, and show how it can be used in a reinforcement learning model and a homeostasis (self-preserving) agent based on the free energy principle. We show that the action of the homeostasis agent can be explained by the operator induction model.