Integrated Information Theory (IIT) and Artificial Consciousness

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Author(s): Francis Fallon (St. John's University, USA)
Copyright: 2017
Pages: 23
Source title: Advanced Research on Biologically Inspired Cognitive Architectures
Source Author(s)/Editor(s): Jordi Vallverdú (Universitat Autònoma de Barcelona, Spain), Manuel Mazzara (Innopolis University, Russia), Max Talanov (Kazan Federal University, Russia), Salvatore Distefano (University of Messina, Italy & Kazan Federal University, Russia)and Robert Lowe (University of Gothenburg, Sweden & University of Skövde, Sweden)
DOI: 10.4018/978-1-5225-1947-8.ch001

Keywords: Artificial Intelligence / Biologically-Inspired Computing / Information Science Reference / Medicine & Healthcare

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Abstract

This chapter aims to evaluate Integrated Information Theory's claims concerning Artificial Consciousness. Integrated Information Theory (IIT) works from premises that claim that certain properties, such as unity, are essential to consciousness, to conclusions regarding the constraints upon physical systems that could realize consciousness. Among these conclusions is the claim that feed-forward systems, and systems that are not largely reentrant, necessarily will fail to generate consciousness (but may simulate it). This chapter will discuss the premises of IIT, which themselves are highly controversial, and will also address IIT's related rejection of functionalism. This analysis will argue that IIT has failed to established good grounds for these positions, and that convincing alternatives remain available. This, in turn, implies that the constraints upon Artificial Consciousness are more generous than IIT would have them be.

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