Intrinsic meaning, perception, and matching

TL;DR

This paper extends integrated information theory to explore how intrinsic meaning relates to perception and environmental stimuli, proposing that perception is a structured interpretation driven by intrinsic connectivity and that environmental meaningfulness is quantified by perceptual differentiation.

Contribution

It introduces a framework linking intrinsic meaning, perception, and environmental causal processes, emphasizing perception as a structured interpretation based on intrinsic connectivity.

Findings

Perception is a structured interpretation triggered by environmental stimuli.

Perceptual differentiation quantifies environmental meaningfulness.

Matching between intrinsic meaning and environmental processes reflects adaptation.

Abstract

Integrated information theory (IIT) argues that the substrate of consciousness is a maximally irreducible complex of units. Together, subsets of the complex specify a cause-effect structure, composed of distinctions and their relations, which accounts in full for the quality of experience. The feeling of a specific experience is also its meaning for the subject, which is thus defined intrinsically, regardless of whether the experience occurs in a dream or is triggered by processes in the environment. Here we extend IIT's framework to characterize the relationship between intrinsic meaning, extrinsic stimuli, and causal processes in the environment, illustrated using a simple model of a sensory hierarchy. We argue that perception should be considered as a structured interpretation, where a stimulus from the environment acts merely as a trigger for the complex's state and the structure is provided by the complex's intrinsic connectivity. We also propose that perceptual differentiation - the richness and diversity of structures triggered by representative sequences of stimuli - quantifies the meaningfulness of different environments to a complex. In adaptive systems, this reflects the "matching" between intrinsic meanings and causal processes in an environment.