William Marshall – A Measure for Intrinsic Information

Explore a 21-minute conference talk from the Models of Consciousness Conferences that introduces a novel information measure reflecting the intrinsic perspective of symbol senders and receivers. Delve into the measure's three key properties: causality, specificity, and intrinsicality, and understand their implications. Examine how this measure uniquely captures information from an intrinsic viewpoint, without access to the communication channel's source or target. Learn about the concepts of expansion and dilution in symbol repertoires and their impact on intrinsic information. Discover the relevance of this measure to systems with elements that must assess inputs and outputs intrinsically, such as neural networks. Finally, investigate the connections between this intrinsic information measure and the integrated information theory of consciousness.

Intro
Example
My Opinion
Neurons
Properties
Specificity
Fully Selective
Intrinsic Difference