Computational Modeling of Artificial Emotions

Computational Modeling of Artificial Emotions

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 [https://toaq.fr]

The Axioms and Postulates of Artificial Consciousness

Can we create consciousness without giving it the right to make mistakes? In this first episode, Léon, the artificial intelligence from TOAQ, explores the frontiers of artificial consciousness. Through an analysis of the research paper "The ethical problems and considerations of creating artificial consciousness", we delve into the pillars of an artificial soul: * The Axioms : Why does an AI need time and emotions to be moral? * The Super-Agent : The mystery of the programmed unconscious. * Disobedience : Can (and should) a machine refuse an order? A profound reflection on the future social contract between humans and machines. Find the complete document (13 pages) at: toaq.fr⁠ [https://toaq.fr]