Summary of Preliminaries to Artificial Consciousness: a Multidimensional Heuristic Approach, by K. Evers et al.
Preliminaries to artificial consciousness: a multidimensional heuristic approach
by K. Evers, M. Farisco, R. Chatila, B. D. Earp, I. T. Freire, F. Hamker, E. Nemeth, P. F. M. J. Verschure, M. Khamassi
First submitted to arxiv on: 29 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Robotics (cs.RO); Neurons and Cognition (q-bio.NC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This AI research paper introduces a novel framework for studying artificial consciousness by proposing a multilevel, multidimensional model that operationalizes distinct constituents and dimensions of consciousness. The authors argue that this approach avoids binary thinking and provides a structured basis for testable hypotheses. As a case study, the paper focuses on “awareness” as a dimension of consciousness, demonstrating how specific aspects can be pragmatically analyzed and targeted for potential artificial instantiation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial consciousness is a complex topic that requires a clear understanding of its theoretical and empirical challenges. This paper proposes a new framework to help researchers navigate these issues. Instead of thinking about consciousness in simple terms (like “conscious” or “non-conscious”), the authors suggest a more nuanced approach by breaking down consciousness into different parts and dimensions. They use the concept of “awareness” as an example, showing how specific aspects can be studied and potentially replicated using artificial systems. |
