Evers, K., et al. (2025).
arXiv.org.
Abstract
The pursuit of artificial consciousness requires conceptual clarity to navigate its theoretical and empirical challenges. This paper introduces a composite, multilevel, and multidimensional model of consciousness as a heuristic framework to guide research in this field. Consciousness is treated as a complex phenomenon, with distinct constituents and dimensions that can be operationalized for study and for evaluating their replication. We argue that this model provides a balanced approach to artificial consciousness research by avoiding binary thinking (e.g., conscious vs. non-conscious) and offering a structured basis for testable hypotheses. To illustrate its utility, we focus on "awareness" as a case study,
demonstrating how specific dimensions of consciousness can be pragmatically analyzed and targeted for potential artificial instantiation. By breaking down the conceptual intricacies of consciousness and aligning them with practical research goals, this paper lays the groundwork for a robust strategy to advance the scientific and technical understanding of artificial consciousness.
Here are some thoughts:
The paper introduces a comprehensive approach to understanding artificial consciousness by proposing a composite, multilevel, and multidimensional model that aims to provide conceptual clarity in this complex field. The authors argue that the pursuit of artificial consciousness requires a nuanced framework that moves beyond simplistic binary thinking of "conscious versus non-conscious" systems.
The research emphasizes the importance of analytical clarity and logical coherence when exploring artificial consciousness. They highlight a critical challenge in the field - the "analytical fallacy" - which occurs when researchers inappropriately derive empirical findings directly from theoretical premises without sufficient independent validation. This approach can lead to circular reasoning and potentially misleading conclusions about consciousness.
A key contribution of the paper is its treatment of consciousness as a complex phenomenon with distinct constituents and dimensions that can be systematically studied and potentially replicated. By focusing on "awareness" as a case study, the authors demonstrate how specific dimensions of consciousness can be pragmatically analyzed and targeted for potential artificial instantiation1
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The model proposed seeks to address the multifaceted nature of consciousness, acknowledging the field's current pre-scientific state and the need for a balanced, empirically informed approach. It aims to provide researchers with a structured framework for developing testable hypotheses about artificial consciousness, ultimately advancing both scientific understanding and technical exploration of this profound concept.
