128 citations · 172 across the 6 of their papers we have counts for
6 papers
Intrinsic cause-effect power: the tradeoff between differentiation and specification
William G. P. Mayner, William Marshall, Giulio Tononi
Integrated information theory (IIT) starts from the existence of consciousness and characterizes its essential properties: every experience is intrinsic, specific, unitary, definit…
Intrinsic meaning, perception, and matching
William G. P. Mayner, Bjørn Erik Juel, Giulio Tononi
Integrated information theory (IIT) argues that the substrate of consciousness is a maximally irreducible complex of units. Together, subsets of the complex specify a cause-effect…
Dissociating Artificial Intelligence from Artificial Consciousness
Graham Findlay, William Marshall, Larissa Albantakis +4
Developments in machine learning and computing power suggest that artificial general intelligence is within reach. This raises the question of artificial consciousness: if a comput…
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…
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…