AI has a big problem: the unknown!
➜ Dynamic new objects.
➜ Exotic environments.
➜ Unexpected changes.
SIMEGO can handle this; it does not fail when faced with the unknown; it learns and improvises.
Instant digital images always enable goal-oriented action.
Egosimulation sets a new standard in AI robot control systems.
Patented.
Validated by:
Limitations of today's AI systems
Why classic AI (LLMs & KNNs) fails in reality
LLMs fantasize and cannot recognize this.
KNNs are bound to the context on which they were trained – but this is where they can be very valuable (tumor detection). Outside the training context, they lose their competence.
Competence through dynamic digital equivalents
The SIMEGO competence model
SIMEGO replaces the criterion of truth with competence in assessing observations and itself. It implements Gregory Bateson’s “information is a difference that makes a difference”: lifelong learning without overfitting!
The five foundations of SIMEGO:
Self-education
No training on a specific context, but education as a physically acting subject, the ego.
Social learning
SIMEGO also learns from observation – is much faster and more efficient.
Overfitting
No overfitting thanks to a clear separation of information and redundancy.
Competence comparison
Through attributive theory comparison, SIMEGO recognizes better strategies, not just familiar patterns.
Environment simulation
SIMEGO is patented
Innovation that
sets standards.
We have secured our technological lead. SIMEGO is patented. It marks a radical break with conventional AI architectures. There is no comparable technology that achieves competence and independent action in this way systemically.
- Patented structure: Unique process for the autonomous development of internal intelligence that grows from within without external training.
- Simulation logic: Technology for virtually assessing the behavior of observed or only suspected objects – SIMEGO “experiences” the situation in order to plan and implement the optimal trajectory to its own goal.
- Theory comparison: A necessary process for self-assessment as a reason for the autonomous learning impulse.
The advantages of SIMEGO
Complete autonomy that works
No blockages
SIMEGO always finds its own way, even in the case of anomalies.
Hardware-efficient
The logic can not only be implemented with existing computer technology, it is also more energy-efficient.
Future-proof
A system that achieves its goals better and better, without overfitting, without cloud dependency.
Areas of application for SIMEGO
Use in critical environments
SIMEGO is relevant wherever systems need to act autonomously in the long term and classic models reach their limits.
- Autonomous driving (cars, trucks, buses)
- Robotics systems (industrial, mobile, and collaborative)
- Drones and autonomous aircraft
- Maritime robotics (underwater vehicles, autonomous boats)
- Smart home and assistive technologies (e.g., care support)
- Logistics and warehouse automation
- Manufacturing automation and process control
- Military and security applications
- AI-based surveillance systems
- Adaptive assistance systems for humans (care, rehabilitation)
- Extraterrestrial research and mining robots
The idea behind SIMEGO
About the developer of the SIMEGO idea
SIMEGO did not start out as a product request or program idea.
It began as a question that arose during his studies.
The developer of SIMEGO is a business IT specialist with minors in science theory and psychology. For years, he has been working as a freelance translator and programmer for a leading manufacturer of financial software.
Carl Albert Schreiber,
Developer & Initiator
However, the actual basis of SIMEGO did not originate as a program, but rather as a purely intellectual challenge: If truth as a criterion for scientific theories and knowledge is an illusion, how could science, which followed this illusion for centuries, still be so tremendously successful?
This gave rise to specific questions that led to an attributive theory comparison based on an alternative theory definition and ultimately to a patent for autonomous robots: SIMEGO.
The vision is clear:
Autonomous systems that are not trained on a context-specific manner, but have expanding decision-making capabilities.
Systems for which the unknown and unexpected are opportunities to learn and not to fail.
Contact & Partnership
Competence instead of truth.
- Technological insights
- Partnerships in research and industry
- Access to the patent specification and architectural details
Autonomy begins where classical AI reaches its limits.
If you develop systems that need to remain capable of acting in the unknown, talk to us.
SIMEGO is a patented operating concept for goal-oriented action beyond fixed models.
Contact us to find out more: