About
Between the past and the future lies what is undone
Cartheur Research was founded in 2009 to explore artificial reasoning and to translate cybernetic ideas into real-world systems. The work spans applied AI, robotics, and low-power computing, with an emphasis on ethical design and durable architecture.
Origins
- Formal study of artificial reasoning began in 1995
- Rooted in cybernetics and adaptive systems theory
- Focused on practical, human-aligned machine intelligence
- Stochastic epistemic cuts for artificial systems in 2012
- Strong implementation of Berkeley symbolic logic in 2023
Dr. Christopher A. Tucker
AI engineer and cyberneticist with more than two decades of experience designing intelligent, fault-tolerant systems. Research includes energy-efficient AI hardware, adaptive control, and large-scale model deployment.
- Ph.D. research at the University of Reading under Professor Kevin Warwick
- Patented method for artificial living entities (US20180204107A1)
- Architected AI systems spanning robotics, cloud, and edge platforms
Team
A focused, seasoned team blending engineering, creative design, robust implementation, and streamlined go-to-market execution. We pair hands-on research with production delivery, translating complex ideas into dependable systems and clear outcomes. Each collaborator brings a deep craft background, a bias for practical results, and a shared commitment to human-aligned intelligence.
Research philosophy
Cartheur blends philosophy, physics, and engineering into a single practice: build systems that can reason under constraints, adapt to change, and respect human context.
- Artificial reasoning as a practical engineering discipline
- Cybernetics for better feedback and accountability
- Low-energy computation for sustainable intelligence
- Open research and shared technical knowledge
- Human-centric behavioral approach to machine intelligence
The Artificial Life Robotics Show
Listen to conversations on robotics, intelligence, and systems design.
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