Integrated information theory: the good, the bad and the misunderstood
Adam B. Barrett, Borjan Milinkovic, Pedro A. M. Mediano, Fernando E. Rosas, Daniel Bor, Lionel Barnett, Anil K. Seth

TL;DR
The paper clarifies misconceptions about Integrated Information Theory (IIT), discusses its theoretical and empirical aspects, and highlights key issues like the interpretation of $\
Contribution
It provides a nuanced summary of IIT, addresses misunderstandings, and discusses necessary reformulations for physical and computational applications.
Findings
High $\
IIT implies a panpsychist view with space tiled with proto-consciousness.
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Abstract
The integrated information theory of consciousness (IIT) is uniquely ambitious in proposing a mathematical formula, derived from apparently fundamental properties of conscious experience, to describe the quantity and quality of consciousness for any physical system that possesses it. IIT has generated considerable debate, which has engendered some misunderstandings and misrepresentations. Here we address and hope to remedy this. We begin by concisely summarising the essentials of IIT. Given IIT is supposed to apply universally, we do this with reference to an arbitrary patch of matter, as opposed to the usual system of discrete computational units. Then, after briefly summarising IIT's theoretical and empirical achievements, we focus on five points which we consider especially important for driving forward new theory and increasing understanding. First, a high value of the measure…
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