Free Will in a Deterministic System
Year: 2025
Type: article
Abstract: What if I told you that the biggest philosophical debate in human history—whether we have free will or if everything is predetermined—has been asking the wrong question entirely? For thousands of years, brilliant minds have been arguing about whether you are the captain of your ship or just a passenger on a ride that was planned before you were born. I think I found a plot twist: using data from animal social networks across species (because animals do not overthink things like we do; guilty as charged), I have discovered that free will and determinism are not enemies locked in an eternal battle—they are dance partners moving to the same cosmic rhythm. On one hand, we have free will to make choices, and we do so with intention most of the time. On the other hand, we have biological tendencies, characteristics, skills, and varying resources that align with a deterministic system that encourages, rewards, and provides pathways in life that help us reach our best selves. Think of life as a massive escalator that is always moving forward based on structures way bigger than yourself, but here is the kicker: just because you are on the escalator doesn't mean you are paralyzed. You can still walk around, help someone who has fallen, start a conversation, or choose to be a jerk to everyone (though the deterministic system tends to punish that behavior). This paper reveals how these two phenomena work together in beautiful harmony, operating on different timescales and creating the perfect balance between structure and freedom that makes life both meaningful and unpredictable. It supports the conclusion that you are neither trapped in a predetermined script, nor floating alone in chaos—we are all participating in something far more elegant than either extreme could offer. Let me show you what it all looks like. This work has not been peer-reviewed.
Author: Stone, Bryant
Language: English
Topic: Free Will and Agency
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6949520562
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