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Naturalizing Consciousness Emergence for AI Implementation Purposes

Jordi Vallverdu, Max O. Talanov

Advances in Computational Intelligence and Robotics January 25, 2017 DOI: 10.4018/978-1-5225-1947-8.ch002 (opens in new tab)

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Characteristics Theoretical or philosophical paper Peer reviewed
Citations 3
Key points Proposes a bioinspired, functional account of consciousness that captures basic brain mechanisms suitable for computational implementation rather than emulating real mechanisms at a 1:1 scale. Argues that consciousness is one cognitive mechanism among others serving survival, and that decision-making processes underlying adaptive responses to the environment are central to why consciousness emerged and what it is for.

Abstract

The purpose of this chapter is to delineate a naturalistic approach to consciousness. This bioinspired method does not try to emulate into a 1:1 scale real mechanisms but instead of it, we capture some basic brain mechanisms prone to be implemented into computational frameworks. Consequently, we adopt a functional view on consciousness, considering consciousness as one among other cognitive mechanisms useful for survival purposes in natural environments. Specifically, we wish to capture those mechanisms related to decision-making processes employed by brains in order to produce adaptive answer to the environment, because this is the main reason for the emergence and purpose of consciousness.

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