Academic Journal
From Dennett to transformers : emergent properties, Kolmogorov complexity, and the Turing-computability of human intelligence
| Τίτλος: | From Dennett to transformers : emergent properties, Kolmogorov complexity, and the Turing-computability of human intelligence |
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| Συγγραφείς: | Abela, John |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | University of Malta: OAR@UM / L-Università ta' Malta |
| Θεματικοί όροι: | Artificial intelligence -- Computer programs, Artificial intelligence -- Data processing, Turing (Computer program language), Object-oriented programming (Computer science), Kolmogorov complexity, Pattern recognition systems |
| Περιγραφή: | This paper explores the Turing-computability of human cognition through the lens of the late philosopher Daniel Dennett’s computational functionalism, Kolmogorov Complexity, and recent advances in large language models (LLMs). We compare the high complexity and capacity of the human brain to the deliberate scaling of LLMs, noting that emergent properties—such as zero-shot reasoning—arise when models reach critical thresholds in parameter count and training data. By analyzing whether these emergent capabilities can approximate human-level intelligence, we shed light on the debate concerning the algorithmic replicability of human consciousness. We suggest that capacity, complexity, and scaling play pivotal roles in shaping advanced cognitive behaviors, offering preliminary insights into artificial general intelligence (AGI). Although the emphasis is primarily theoretical, we briefly note that transformer models have the potential for unlocking new analytical capabilities in fields such as astrophysics and cosmology, highlighting the broad impact of scaling laws beyond natural language alone. ; peer-reviewed |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| Relation: | https://www.um.edu.mt/library/oar/handle/123456789/133249 |
| DOI: | 10.20944/preprints202502.1312.v1 |
| Διαθεσιμότητα: | https://www.um.edu.mt/library/oar/handle/123456789/133249 https://doi.org/10.20944/preprints202502.1312.v1 |
| Rights: | info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Αριθμός Καταχώρησης: | edsbas.728236A0 |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.20944/preprints202502.1312.v1 |
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