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DOI:  https://doi.org/10.36719/2663-4619/118/175-181

Javidan Zeynalov

Azerbaijan State University of Culture and Arts

Master student

https://orcid.org/0009-0005-2159-2652

cavidanzeynalov11@gmail.com

 

Phenomenology of Creativity: A Cognitive Approach to

Artificial Intelligence

 

Abstract

 

This research analyzes the phenomenology of creativity in the field of artificial intelligence through a cognitive approach, focusing on the frame problem as one of the fundamental challenges confronting contemporary systems. The distinctions between strong and weak artificial intelligence models are evaluated within the context of difficulties in discriminating between contextually relevant and irrelevant information. Hubert Dreyfus's approach, grounded in Heideggerian philosophy, contends that artificial intelligence remains divorced from an embodied and contextual worldview. Based on the concept of "being in the world," it is argued that effective artificial intelligence requires not merely computational capability, but also practical engagement with the world. The research simultaneously investigates metabolism-based approaches and decentralized autonomous decision-making systems. The slime mold organism serves as an exemplar demonstrating that simple biological entities can perform optimization and computational tasks through metabolic processes. The field of biocomputing offers novel technological possibilities through the integration of artificial and biological components. Particularly, microbial-robot symbiosis and bio-artificial systems are presented as alternative approaches to resolving the frame problem.

The research emphasizes the necessity of integrating philosophy, biology, cognitive sciences, and technology for the advancement of artificial intelligence. The importance of transitioning to systems that incorporate characteristics inherent to living organisms—such as metabolism, autonomous decision-making, and contextual adaptation—is highlighted as essential for achieving strong artificial intelligence.

Keywords: artificial intelligence, cognitive, philosophy, art, biocomputer

 


 


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