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Semiotica Cybernetics, an AI startup founded by Mark Dennis Robinson, PhD, has released a white paper detailing a patented technical system designed to enable Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) capable of genuine human-meaning comprehension. The approach integrates semiotics—the study of signs and meanings—into AI architectures, addressing fundamental limitations in current large language models that generate responses without true understanding of words, context, or real-world meaning.
“By enabling semiotic capability, this solution not only helps computers to understand human meaning, but also unlocks a stack of related capabilities for AI and humanoid robots, including the capacity to engage with human emotions, process actions, engage in behaviors, and execute myriad other tasks that become newly possible,” said Prof. Mark Dennis Robinson, founder of Semiotica Cybernetics. “While this approach focuses on meaning, it simultaneously unlocks a large catalog of related capabilities for AI and humanoid robots. This could open new possibilities for AI and robots to assist in critical decision-making, communication, and creative problem-solving in science and medicine.”
Contemporary AI excels at statistical pattern recognition but lacks genuine semantic understanding. It generates plausible outputs without comprehending the underlying concepts, context, or real-world implications of language. Semiotica Cybernetics’ system bridges this gap by constructing meaning webs that connect linguistic symbols to real-world phenomena, enabling deductive reasoning, conceptual interpretation, and autogenous logical processing.
The Semiotic Layer serves as the core technical framework, linking diverse inputs (words, images, sounds) to shared concepts. Metasemiotic Pattern Recognition algorithms detect patterns at scales beyond human perception, including microscopic changes. The AI Inspector Gadget Bot allows systems to query humans and conduct real-world experiments when encountering novel situations outside training data. AEPM (Mimicry System) enables robots to learn not just surface imitation but the reasoning, context, and multidimensional dynamics behind emotions, behaviors, and actions.
The white paper outlines high-impact use cases enabled by semiotic comprehension:
According to the white paper, semiotic capability is essential for AI to generate original, breakthrough solutions in complex domains—only systems that grasp meaning can reason deductively and innovate beyond statistical correlations.
About Semiotica Cybernetics
Founded by Mark Dennis Robinson, PhD, Semiotica Cybernetics creates trailblazing, millennium-defining innovations in artificial intelligence, robotics, decision-support systems, and computational bioethics. The company is committed to developing AI systems that can meaningfully support society and advance innovation.
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