• Essay

    Augmented Fuzzy Ai
    vs. Connectionnist Ai

    A look back at the fascinating history of Artificial Intelligence!

    In this essay, you will also get an overview of the two major schools of Ai: connectionism and symbolism (or cognitivism).

    Find out how the XTRACTIS approach fits into the Ai scene today.

  • White Paper

    Introduction to
    Fuzzy Logic

    In this white paper, you will get a glimpse of this new mathematics which is non-standard yet so natural for modeling human reasoning

  • White Paper

    Applications of
    Fuzzy Mathematics

    In this white paper, discover an overview of a set of "classically" designed operational applications of these mathematics over the past thirty years in various fields.

  • White Paper

    The Augmented Fuzzy Ai Approach

    In this white paper, you will get a comprehensive overview of the Augmented Fuzzy AI approach implemented in XTRACTIS for robust and intelligible predictive modeling and multi-objective optimization of complex processes. Find out how it can significantly improve your decision-making processes.

About the Author

Prof. Zyed ZALILA is the Chairman, CEO Founder of the INTELLITECH [intelligent technologies] R&D Company and its R&D Director. He holds a Ph.D. degree in Fuzzy Mathematics from Université de Technologie de Compiègne (UTC), an MSc in Systems Control, a Diplôme d’Ingénieur (Master) in Applied Mathematics and Artificial Intelligence from UTC, and an Authorization to Direct Research. Since 1993 Prof. Zalila has taught fuzzy theory and its applications at the same university.

As early as 1990, he applied his research in fuzzy mathematics to invent the concept of “virtual driver” and “rolling lounge”: his first ADAS (Advanced Driver Assistance Systems) were then operational on open roads in partnership with RENAULT.

In 1993, he proposed the theory of Fuzzy Relations of order N (FR-N) to allow the design of robust symbolic universal approximators of continuous and nonlinear multidimensional functions resistant to imprecision, uncertainty, and the subjectivity of real-world data.

In 1998, Prof. Zalila founded INTELLITECH, a company specializing in the design of complex decision-making systems, integrating the latest advances in Artificial Intelligence: FR-N theory for automatic induction, deduction, and abduction with continuous logics.

As early as 2002, he operated a pivot in INTELLITECH’s strategy: to reliably automate the design of such systems using the Augmented Fuzzy AI. Since then, INTELLITECH has been the publisher of the XTRACTIS Trustworthy AI, a universal solution for the Automatic Discovery of Predictive Models from data dedicated to high-risk complex processes. Requiring no computer programming, this platform discovers expert systems whose decision strategy is fully intelligible, auditable, and certifiable and whose predictive performance is at least as good as that of the best Open Source AI techniques.

Since 1991, Prof. Zalila has directed numerous pieces of research in fuzzy mathematics and its applications and trained more than 1,800 students and auditors in this discipline. He is the co-inventor of 8 fuzzy ADAS patented in 15 countries and in 2000 of Xpark!, the world’s first automatic parking system, operational in the most constrained real situations. Since 2002, he has been the inventor, designer, and co-developer of the different generations of the XTRACTIS software robots, the rights of which are regularly protected worldwide. The applications of this disruptive AI have led to the discovery of many operational behavioral models of economic agents, validating the concept of bounded rationality introduced by Herbert Simon in 1957. XTRACTIS is used in several sectors (Industry, Finance, Autonomous Machines, Health, Defense, Security, etc.). Annually, Prof. Zalila gives nearly 40 public and private introductory lectures on Augmented Fuzzy AI.