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When Does a Machine Become a Self-Conscious Agent? A Structural Threshold Model of Endogenous Reflective Agency (ERA)

Selzer, Edgar (2026) When Does a Machine Become a Self-Conscious Agent? A Structural Threshold Model of Endogenous Reflective Agency (ERA). [Preprint]

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Abstract

When does a machine become a self-conscious agent—able to model itself as a cognitive subject whose past commits its present? Existing answers fall into two camps: behaviorist scaling theses, which equate benchmark performance with progress toward self-conscious machines, and phenomenal-consciousness theories, which inherit the difficulties of the hard problem. This paper advances a third option. The target is restricted to self-consciousness in two well-defined senses: higher-order self-modeling, in which a system represents itself as a cognitive subject, and diachronic self-constitution, in which a system maintains itself as a persisting subject whose history is normatively binding on its present. The paper remains agnostic about phenomenal consciousness. It then advances a threshold thesis formalized as Endogenous Reflective Agency (ERA), specifying five jointly necessary criteria: endogenous self-initiated inquiry, persistent and revisable self-models, internally generated valuation, recursive but bounded self-reflection, and bidirectional internal–external coupling. ERA specifies functional constraints on cognitive architecture while remaining agnostic to substrate. To operationalize the threshold, the paper introduces the Silence Test, which diagnoses whether self-directed activity and history-sensitive self-revision persist when external prompts and reinforcement are withdrawn.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Selzer, Edgaredgar.selzer@meduniwien.ac.at0000-0003-2031-2768
Keywords: Endogenous reflective agency, self-consciousness; self-conscious agency; self-modeling; diachronic self-constitution; internal valuation; Silence Test; Turing Test, LLM
Subjects: Specific Sciences > Artificial Intelligence > AI and Ethics
Specific Sciences > Artificial Intelligence > Classical AI
Specific Sciences > Neuroscience > Cognitive Neuroscience
Specific Sciences > Cognitive Science > Consciousness
Specific Sciences > Artificial Intelligence > Machine Learning
Specific Sciences > Cognitive Science > Perception
Depositing User: Professor Edgar Selzer
Date Deposited: 28 Jun 2026 11:23
Last Modified: 28 Jun 2026 11:23
Item ID: 30266
Subjects: Specific Sciences > Artificial Intelligence > AI and Ethics
Specific Sciences > Artificial Intelligence > Classical AI
Specific Sciences > Neuroscience > Cognitive Neuroscience
Specific Sciences > Cognitive Science > Consciousness
Specific Sciences > Artificial Intelligence > Machine Learning
Specific Sciences > Cognitive Science > Perception
Date: 30 June 2026
URI: https://philsci-archive.pitt.edu/id/eprint/30266

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