Agency in artificial systems: a Free Energy Principle perspective

Date

2025-4-8

Author

Kara, Kendal Deniz

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Agentic behavior of living organisms, meaning that their ability to engage in actions that have significance for the system, is difficult to capture in artificial systems. This difficulty leads to the Frame Problem in classical approaches to artificial intelligence. Enactive approaches aim to solve this problem by emphasizing the situated activity of the system, and picture cognition as a capacity that cannot be separated from environmental interactions. The first part of this thesis focuses on the historical roots of the Frame Problem and its solution in Life Mind Continuity Thesis. This solution, however, prevents further discussions of genuine agency in non-living systems. In the second part, a perspective on how actions of non-biological artificial systems can be genuinely agentic within the Free Energy Principle framework is developed.

Subject Keywords

agency, free energy principle, artificial intelligence, teleology

URI

https://hdl.handle.net/11511/114464

Collections

Graduate School of Informatics, Thesis