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What Does 'Information' Mean in Integrated Information Theory?

Olimpia Lombardi, Cristian López

Entropy (Basel, Switzerland) November 22, 2018 DOI: 10.3390/e20120894 (opens in new tab) via PubMed

Summary

AI-generated from the abstract

Integrated Information Theory (IIT) aims to explain consciousness by linking its fundamental properties to physical systems. A central concept is information, which IIT treats as intrinsic to a system and tied to its causal structure. This paper argues that the information in IIT should be understood through a causal-manipulability view, where information is defined only when it participates in causal relationships. These causal links are revealed by interventionist procedures based on Woodward's and Pearl's manipulability theories of causation. The analysis clarifies how information operates within IIT's framework.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Shannon information Causation Integrated information theory
Key finding Argues that information within Integrated Information Theory should be understood through a causal-manipulationist view, where information is defined only when involved in causal links revealed by interventionist procedures.

Abstract

Integrated Information Theory (IIT) intends to provide a principled theoretical approach able to characterize consciousness both quantitatively and qualitatively. By starting off identifying the fundamental properties of experience itself, IIT develops a formal framework that relates those properties to the physical substratum of consciousness. One of the central features of ITT is the role that information plays in the theory. On the one hand, one of the self-evident truths about consciousness is that it is informative. On the other hand, mechanisms and systems of mechanics can contribute to consciousness only if they specify systems' intrinsic information. In this paper, we will conceptually analyze the notion of information underlying ITT. Following previous work on the matter, we will particularly argue that information within ITT should be understood in the light of a causal-manipulabilist view of information (López and Lombardi 2018), conforming to which information is an entity that must be involved in causal links in order to be precisely defined. Those causal links are brought to light by means of interventionist procedures following Woodward's and Pearl's version of the manipulability theories of causation.

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