A Compositional Model of Consciousness based on Consciousness-Only

07/31/2020
by   Camilo Miguel Signorelli, et al.
0

Scientific studies of consciousness rely on objects whose existence is independent of any consciousness. This theoretical-assumption leads to the "hard problem" of consciousness. We avoid this problem by assuming consciousness to be fundamental, and the main feature of consciousness is characterized as being other-dependent. We set up a framework which naturally subsumes the other-dependent feature by defining a compact closed category where morphisms represent conscious processes. These morphisms are a composition of a set of generators, each being specified by their relations with other generators, and therefore other-dependent. The framework is general enough, i.e. parameters in the morphisms take values in arbitrary commutative semi-rings, from which any finitely dimensional system can be dealt with. Our proposal fits well into a compositional model of consciousness and is an important step forward that addresses both the hard problem of consciousness and the combination problem of (proto)-panpsychism.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/07/2021

Lambek pregroups are Frobenius spiders in preorders

"Spider" is a nickname of *special Frobenius algebras*, a fundamental st...
research
05/10/2023

The Compositional Structure of Bayesian Inference

Bayes' rule tells us how to invert a causal process in order to update o...
research
04/20/2022

Dependent Optics

A wide variety of bidirectional data accessors, ranging from mixed optic...
research
08/16/2018

Limits of bimorphic lenses

Bimorphic lenses are a simplification of polymorphic lenses that (like p...
research
06/21/2021

A causal view on compositional data

Many scientific datasets are compositional in nature. Important examples...
research
05/24/2018

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder

Embedding models for entities and relations are extremely useful for rec...
research
04/30/2020

A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes

One of the major research questions regarding human microbiome studies i...

Please sign up or login with your details

Forgot password? Click here to reset