When we hear about artificial intelligence, we often think of language models such as chatppt, computer vision or humanoid robots. But there is a branch of the less known AI of the general public, which has influenced our daily life for decades: Blurred logic.
An unattractive name, but a fundamental technology. Behind the automatic transmission of your car, the automatic focus of the camera or intelligent air conditioning systems, there are often: blurred logic.
What is blurred logic?
Fuzzy Logic, or “Logica Fuzzy”, is a mathematical system developed to manage uncertainty and imprecision, introducing the idea that something can be True only partly. Unlike classic binary logic (true / false, 1/0), blurred logic allows degrees of truth. For example: to say that a piece is “hot” does not imply a fixed temperature, but a blurred range – exactly how a human being reasons.
Invented in the 1960s by Lotfi Zadeh, he struggled to settle in the United States, although he was born there. As told during a panel of AI week 2025American culture does not align itself well with the concepts “blurred”, while countries like Japan were able to take advantage of its potential faster and more broadly.
From summary to practice: where you use a fuzzy logic every day
Many are unaware that the applications of blurred logic are already around us:
- Automatic car transmission: Each time an automatic car decides when to change the equipment, it does it thanks to a chip that uses blurred logic to interpret the speed, the slope, the pressure on the accelerator and other factors.
- Cameras and smartphones: The frames that appear in the viewfinder when you take a photo? They use blurred logic to automatically focus on different areas in a “intelligent” way.
- Air conditioners: Advanced climate air conditioning systems use blurred logic to dynamically adapt to perceived temperature, the presence of people and other environmental signals.
In short, each time a device makes a “nuanced” decision, with a margin of uncertainty, there is a good probability that it uses blurred logic.
Why he was underestimated
As underlined in the panel, the name “vague” – which in English resembles “confused”, “vague” – has not helped its spread. Alternatively, a name like “Cloud Logic” has been proposed, which could have mentioned more modern and less negative concepts.
In addition, the initial lack of practical applications slows academic and industrial interest. It is only with the arrival of complex electronic devices and the need to automate non -rigid decisions that blurred logic has found its space.
What is its role in today's AI?
Although today there are many things on AI based on neural networks and in -depth learning, blurred logic has not disappeared. On the contrary, it was integrated into chips Many intelligent devices and always represent a valid approach for systems that must make rapid and interpretable decisions, often in real environments where data is uncertain or imprecise.
In addition, it connects to emerging flows such as Theory of possibilitieswhich goes beyond the probability of modeling uncertainty in a way closer to human reasoning.
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Conclusion
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Blurred logic is the perfect example of “silent” technology: it does not make headlines like chatbots Or robots, but it works behind the scenes to make our devices really intelligent. It is a bridge between mathematics and human language, between precision and intuition.
In a world increasingly motivated by AI, remembering that there are also different approaches – less spectacular but more human – is essential. And blurred logic, with its ability to reason “in nuances”, still has a lot to teach us.
