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William G. P. Mayner

6 papers in the library · 19 citations · publishing 2022-2026

Papers

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Intrinsic Cause-Effect Power: The Tradeoff Between Differentiation and Specification.

Entropy (Basel, Switzerland) April 4, 2026 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, definite, and structured. IIT then formulates existence and its essential properties operationally in terms of cause-effect power of a substrate of units. Here, we address IIT's operational requirements for existence by...

DOI: 10.3390/e28040410 (opens in new tab) Full text (opens in new tab) Complexity Consciousness Differentiation Integrated information +1

Intrinsic cause-effect power: the tradeoff between differentiation and specification

arXiv Preprint Archive October 4, 2025 William G. P. Mayner, William Marshall, Giulio Tononi preprint

Integrated information theory (IIT) starts from the existence of consciousness and characterizes its essential properties: every experience is intrinsic, specific, unitary, definite, and structured. IIT then formulates existence and its essential properties operationally in terms of cause-effect power of a substrate of units. Here we address IIT's operational requirements for existence by...

Intrinsic meaning, perception, and matching

arXiv Preprint Archive December 30, 2024 William G. P. Mayner, Bjørn Erik Juel, Giulio Tononi preprint

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 structure, composed of distinctions and their relations, which accounts in full for the quality of experience. The feeling of a specific experience is also its meaning for the subject, which is thus defined...

Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms.

PLoS Computational Biology October 17, 2023 Larissa Albantakis, Leonardo S. Barbosa, Graham Findlay et al.

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 properties of experience (axioms), infers the necessary and sufficient properties that its substrate must satisfy (postulates), and expresses them in mathematical terms. In principle, the postulates can be applied to any...

DOI: 10.1371/journal.pcbi.1011465 (opens in new tab) Full text (opens in new tab) Brain Consciousness Models, neurological Information theory

System Integrated Information

Entropy February 11, 2023 William Marshall, Matteo Grasso, William G. P. Mayner et al. 19 citations

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 translated into a set of postulates about the substrate of consciousness (called a complex), which are then used to formulate a mathematical framework for assessing both the quality and quantity of experience. The...

IIT, half masked and half disfigured.

Behavioral and Brain Sciences March 23, 2022 Giulio Tononi, Melanie Boly, Matteo Grasso et al.

The target article misrepresents the foundations of integrated information theory (IIT) and ignores many essential publications. It, thus, falls to this lead commentary to outline the axioms and postulates of IIT and correct major misconceptions. The commentary also explains why IIT starts from phenomenology and why it predicts that only select physical substrates can support consciousness....