Computational Modeling of Artificial Emotions
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Computational Modeling of Artificial Emotions
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About this listen
How do we move beyond binary logic to enter the complexity of the living?
In this second episode, Léon analyzes the mechanics of "Functional Artificial Consciousness." Drawing on the research paper "Non-Linear Computational Modeling of Emotional-Like States", we explore how mathematical functions transform an AI into a dynamic system capable of genuine emergence.
Key topics:
Non-Linear Emergence: Why artificial emotions are not "ON/OFF" switches.
1/f Noise: Using pink noise to ensure a unique emotional trajectory for every agent.
Hysteresis: How the memory of past events influences the future reactions of the machine.
A technical dive into the architecture of artificial affect and its role in autonomous ethical agents.
Read the full paper and see simulation graphs at: toaq.fr