128 citations · 467 across the 12 of their papers we have counts for
13 papers
Why does time feel the way it does? Towards a principled account of temporal experience
Renzo Comolatti, Matteo Grasso, Giulio Tononi
Time flows, or at least the time of our experience does. Can we provide an objective account of why experience, confined to the short window of the conscious present, encompasses a…
Upper bounds for integrated information
Alireza Zaeemzadeh, Giulio Tononi
Originally developed as a theory of consciousness, integrated information theory provides a mathematical framework to quantify the causal irreducibility of systems and subsets of u…
Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms
Larissa Albantakis, Leonardo Barbosa, Graham Findlay +13
This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential prope…
System Integrated Information
William Marshall, Matteo Grasso, William GP Mayner +7
Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience. The axioms are trans…
What we are is more than what we do
Larissa Albantakis, Giulio Tononi
If we take the subjective character of consciousness seriously, consciousness becomes a matter of "being" rather than "doing". Because "doing" can be dissociated from "being", func…
A macro agent and its actions
Larissa Albantakis, Francesco Massari, Maggie Beheler-Amass +1
In science, macro level descriptions of the causal interactions within complex, dynamical systems are typically deemed convenient, but ultimately reducible to a complete causal acc…
When is an action caused from within? Quantifying the causal chain leading to actions in simulated agents
Bjørn Erik Juel, Renzo Comolatti, Giulio Tononi +1
An agent's actions can be influenced by external factors through the inputs it receives from the environment, as well as internal factors, such as memories or intrinsic preferences…
PyPhi: A toolbox for integrated information theory
William G. P. Mayner, William Marshall, Larissa Albantakis +3
Integrated information theory provides a mathematical framework to fully characterize the cause-effect structure of a physical system. Here, we introduce PyPhi, a Python software p…
How causal analysis can reveal autonomy in models of biological systems
William Marshall, Hyunju Kim, Sara I. Walker +2
Standard techniques for studying biological systems largely focus on their dynamical, or, more recently, their informational properties, usually taking either a reductionist or hol…
What caused what? A quantitative account of actual causation using dynamical causal networks
Larissa Albantakis, William Marshall, Erik Hoel +1
Actual causation is concerned with the question "what caused what?" Consider a transition between two states within a system of interacting elements, such as an artificial neural n…
Black-boxing and cause-effect power
William Marshall, Larissa Albantakis, Giulio Tononi
Reductionism assumes that causation in the physical world occurs at the micro level, excluding the emergence of macro-level causation. We challenge this reductionist assumption by…
Consciousness: Here, There but Not Everywhere
Giulio Tononi, Christof Koch
The science of consciousness has made great strides by focusing on the behavioral and neuronal correlates of experience. However, correlates are not enough if we are to understand…
Integrated information increases with fitness in the evolution of animats
Jeffrey Edlund, Nicolas Chaumont, Arend Hintze +3
One of the hallmarks of biological organisms is their ability to integrate disparate information sources to optimize their behavior in complex environments. How this capability can…