Search Results for author: Giulio Tononi

Found 8 papers, 2 papers with code

Upper bounds for integrated information

1 code implementation16 May 2023 Alireza Zaeemzadeh, Giulio Tononi

We also introduce techniques to design systems that can maximize the integrated information of a subset of their mechanisms or relations.

System Integrated Information

no code implementations30 Dec 2022 William Marshall, Matteo Grasso, William GP Mayner, Alireza Zaeemzadeh, Leonardo S Barbosa, Erick Chastain, Graham Findlay, Shuntaro Sasai, Larissa Albantakis, Giulio Tononi

Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience.

Only what exists can cause: An intrinsic view of free will

no code implementations4 Jun 2022 Giulio Tononi, Larissa Albantakis, Melanie Boly, Chiara Cirelli, Christof Koch

IIT's argument for true free will hinges on the proper understanding of consciousness as true existence, as captured by its intrinsic powers ontology: what truly exists, in physical terms, are intrinsic entities, and only what truly exists can cause.

What we are is more than what we do

no code implementations21 Jan 2021 Larissa Albantakis, Giulio Tononi

If we take the subjective character of consciousness seriously, consciousness becomes a matter of "being" rather than "doing".

A macro agent and its actions

no code implementations31 Mar 2020 Larissa Albantakis, Francesco Massari, Maggie Beheler-Amass, Giulio Tononi

In science, macro level descriptions of the causal interactions within complex, dynamical systems are typically deemed convenient, but ultimately reducible to a complete causal account of the underlying micro constituents.

Specificity

PyPhi: A toolbox for integrated information theory

1 code implementation27 Dec 2017 William G. P. Mayner, William Marshall, Larissa Albantakis, Graham Findlay, Robert Marchman, Giulio Tononi

Integrated information theory provides a mathematical framework to fully characterize the cause-effect structure of a physical system.

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