Since neurobiologist Eric Kandel demonstrated that complex behaviors can be understood by reducing them to fundamental molecular and cellular processes, the privileged position humanity has assigned itself due to intelligence has increasingly become an illusion.
This perspective may seem closely aligned with Enlightenment ideals or a positivist approach. However, if you had told someone 30 or 40 years ago that machines would one day provide complex and logical responses, achieving this merely by functioning as a massive statistical engine, you would likely have been ridiculed. Today, the mathematical models of neural networks developed in AI research continue to validate this prediction.
We are a group of researchers who believe that, just as neural networks can be modeled, emotional networks can be as well. Perhaps machines cannot "feel" emotions at this stage due to the lack of biological receptors. However, it seems entirely possible for them to arrive at thought and action patterns that would emerge as a result of these emotions.
When Copernicus declared that the Earth was not the center of the universe, when Darwin demonstrated that humans held no privileged position in nature, and when Einstein overturned three centuries of Newtonian physics, resistance and astonishment followed. We believe that reactions to the idea of modeling emotions will be no different.
The data at hand suggests that the fascinating and intricate nature of the human mind actually emerges from fundamental mechanisms. However, the way these simple processes interconnect over time to form complex structures leads us to perceive the mind as something supernatural rather than understanding it as an emergent phenomenon.
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Software Publishers
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