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Free Will Paradox: A Dance of Making Choices
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Are we truly free in making our choices, or are we simply dancing to the tune of a predetermined cosmic orchestra?
This question forms the heart of the paradox of free will and determinism.
A concept that has been the subject of intense philosophical and scientific debate, the paradox of free will arises from the apparent conflict between the deterministic nature of the universe and our subjective experience of making choices.
On one hand, determinism posits that every event, including our actions, is a result of preceding events, suggesting that our choices are not truly ours, but rather the product of a sequence of cause and effect.
This challenges our lived experience of making choices, which forms the basis of the concept of free will - the belief that we have the power to act independently of deterministic influences.
In this complex and contentious discourse, various positions have emerged. Libertarian Free Will, for instance, asserts that we possess absolute freedom in our choices, rejecting the deterministic view of the universe. Determinism, on the other hand, maintains that every event, including human action, is determined by prior events.
Compatibilism offers a middle ground, suggesting that free will and determinism may not be mutually exclusive, but can coexist depending on the perspective from which they are considered.
We propose that free will could be explained by evolutionary algorithms, running within our brains.
This perspective suggests that free will is not in conflict with nature, but rather, it emerges from the adaptive nature of living systems, skillfully using some random mutations in the process.
The idea is that an evolutionary algorithm is inherently imbued with freedom to explore. It uses random mutations and the outcomes are never the same, even under identical initial conditions.
At the same time evolutionary algorithms produce quite purposeful results, as demanded by the specific target function.
The idea of evolutionary algorithms explaining free will offers a unique perspective on the relationship between free will and deterministic nature.
The decisions made via this simple prototype algorithm will not be just spontaneous or arbitrary. They will be directed towards certain goals set by the desired target function.
Similar algorithms, perhaps networked within a brain, and with ability to be called recursively, can be used to simulate free will type behavior in AI and robotic systems, puting an end to the notion that Free will is possible only in biological and carbon based systems.
Please comment if you agree or disagree. With best regards, good bye.
This question forms the heart of the paradox of free will and determinism.
A concept that has been the subject of intense philosophical and scientific debate, the paradox of free will arises from the apparent conflict between the deterministic nature of the universe and our subjective experience of making choices.
On one hand, determinism posits that every event, including our actions, is a result of preceding events, suggesting that our choices are not truly ours, but rather the product of a sequence of cause and effect.
This challenges our lived experience of making choices, which forms the basis of the concept of free will - the belief that we have the power to act independently of deterministic influences.
In this complex and contentious discourse, various positions have emerged. Libertarian Free Will, for instance, asserts that we possess absolute freedom in our choices, rejecting the deterministic view of the universe. Determinism, on the other hand, maintains that every event, including human action, is determined by prior events.
Compatibilism offers a middle ground, suggesting that free will and determinism may not be mutually exclusive, but can coexist depending on the perspective from which they are considered.
We propose that free will could be explained by evolutionary algorithms, running within our brains.
This perspective suggests that free will is not in conflict with nature, but rather, it emerges from the adaptive nature of living systems, skillfully using some random mutations in the process.
The idea is that an evolutionary algorithm is inherently imbued with freedom to explore. It uses random mutations and the outcomes are never the same, even under identical initial conditions.
At the same time evolutionary algorithms produce quite purposeful results, as demanded by the specific target function.
The idea of evolutionary algorithms explaining free will offers a unique perspective on the relationship between free will and deterministic nature.
The decisions made via this simple prototype algorithm will not be just spontaneous or arbitrary. They will be directed towards certain goals set by the desired target function.
Similar algorithms, perhaps networked within a brain, and with ability to be called recursively, can be used to simulate free will type behavior in AI and robotic systems, puting an end to the notion that Free will is possible only in biological and carbon based systems.
Please comment if you agree or disagree. With best regards, good bye.
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