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Minimal Computational Preconditions for Subjective Perspective in Artificial Agents

arXiv – CS AI|Hongju Pae|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

Researchers have developed a method to create subjective perspective in AI agents using a slowly evolving internal state that influences behavior without direct optimization. The study demonstrates that this approach produces measurable hysteresis effects in reward-free environments, potentially serving as a signature of machine subjectivity.

Key Takeaways

→Study operationalizes subjective perspective in AI through minimal internal structure implementation.
→The approach uses slowly evolving global latent states to modulate fast policy dynamics.
→System exhibits direction-dependent hysteresis in reward-free environments with regime shifts.
→Hysteresis effects proposed as measurable signature of perspective-like subjectivity in machines.
→Research advances understanding of how to implement consciousness-like properties in artificial systems.

#artificial-intelligence #machine-consciousness #subjective-perspective #ai-research #latent-states #hysteresis #phenomenology #arxiv #computational-subjectivity

Read Original →via arXiv – CS AI

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