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The Me-File: An Event-Coding Approach to Self-Representation.

Bernhard Hommel

Frontiers in Psychology January 1, 2021 DOI: 10.3389/fpsyg.2021.698778 (opens in new tab) via PubMed

Summary

AI-generated from the abstract

People represent themselves using the same basic cognitive mechanisms they use to represent other individuals, events, and objects. This self-representation works by binding sensory codes that result from one's own actions into a 'Me-File'—an integrated event file. This view aligns with a Humean bundle-self theory, where the self is not a unified entity but a collection of perceptions. Recent extensions of the Theory of Event Coding provide the necessary mechanistic ingredients for this account. The Me-File concept offers a foundation for more targeted experimentation and for building artificial agents with human-like selves.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Agency Body ownership Minimal self Self representation
Citations 7
Key finding Proposes that self-representation arises from binding sensory codes of one's own actions into a Me-File, consistent with a Humean bundle-self theory and the Theory of Event Coding.

Abstract

Numerous authors have taken it for granted that people represent themselves or even have something like "a self", but the underlying mechanisms remain a mystery. How do people represent themselves? Here I propose that they do so not any differently from how they represent other individuals, events, and objects: by binding codes representing the sensory consequences of being oneself into a Me-File, that is, into an event file integrating all the codes resulting from the behaving me. This amounts to a Humean bundle-self theory of selfhood, and I will explain how recent extensions of the Theory of Event Coding, a general theory of human perception and action control, provide all the necessary ingredients for specifying the mechanisms underlying such a theory. The Me-File concept is likely to provide a useful mechanistic basis for more specific and more theoretically productive experimentation, as well as for the construction of artificial agents with human-like selves.

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