no code implementations • 30 Dec 2022 • Larissa Albantakis, Leonardo Barbosa, Graham Findlay, Matteo Grasso, Andrew M Haun, William Marshall, William GP Mayner, Alireza Zaeemzadeh, Melanie Boly, Bjørn E Juel, Shuntaro Sasai, Keiko Fujii, Isaac David, Jeremiah Hendren, Jonathan P Lang, Giulio Tononi
IIT aims to account for the properties of experience in physical (operational) terms.
no code implementations • 30 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.
no code implementations • 4 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.
no code implementations • 21 Jan 2021 • Larissa Albantakis, Giulio Tononi
If we take the subjective character of consciousness seriously, consciousness becomes a matter of "being" rather than "doing".
no code implementations • 31 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.
no code implementations • 24 Apr 2018 • Dominik Fischer, Sanaz Mostaghim, Larissa Albantakis
While it is relatively easy to imitate and evolve natural swarm behavior in simulations, less is known about the social characteristics of simulated, evolved swarms, such as the optimal (evolutionary) group size, why individuals in a swarm perform certain actions, and how behavior would change in swarms of different sizes.
no code implementations • 16 Jan 2018 • Jory Schossau, Larissa Albantakis, Arend Hintze
When these components have multiple outputs, we intuitively assume that the outputs are causally dependent on the inputs but are themselves independent of each other given the state of their shared input.
1 code implementation • 27 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.
2 code implementations • 17 Sep 2017 • Arend Hintze, Jeffrey A. Edlund, Randal S. Olson, David B. Knoester, Jory Schossau, Larissa Albantakis, Ali Tehrani-Saleh, Peter Kvam, Leigh Sheneman, Heather Goldsby, Clifford Bohm, Christoph Adami
Markov Brains are a class of evolvable artificial neural networks (ANN).
no code implementations • 22 Aug 2017 • Larissa Albantakis, William Marshall, Erik Hoel, Giulio Tononi
Actual causation is concerned with the question "what caused what?"
no code implementations • 30 May 2017 • Larissa Albantakis
What does it take for a system, biological or not, to have goals?