Understanding Cognitive Foundations to Master Artificial Intelligence
In my self-directed journey into artificial intelligence, I’ve come to realize that grasping the fundamentals of cognitive science, mental modeling, and cognitive architectures is essential for building AI systems that are explainable, pedagogical, and socially mobilizing.
Cognitive science, as an interdisciplinary field, enables us to understand mental mechanisms such as perception, memory, reasoning, language, and learning. These pillars are foundational to any serious attempt at simulating human intelligence.
Cognitive modeling, explored in Module 2 of Wizape.com (chapters 2.6 to 2.8), aims to replicate these mental processes through computational models. It goes beyond mere imitation, seeking to reflect the internal logic of human functioning in order to design more robust and educational intelligent systems.
Cognitive architectures like ACT-R, SOAR, and CLARION provide formal frameworks for organizing artificial mental functions, perception, attention, memory, action, and learning. They embody a strategic ambition: to structure artificial intelligence on solid cognitive foundations.
I am convinced that this approach is crucial for the future of AI in Haiti, particularly in the fields of education, healthcare, industry, and territorial mobilization. It allows us to move beyond pure algorithms and integrate a human-centered, explainable, and mobilizing dimension.
I share this note as part of an intellectual capitalization and pedagogical transmission effort, with the intention of initiating an academic dialogue and laying the groundwork for Haitian research in cognitive AI.
Understanding Cognitive Foundations to Master Artificial Intelligence
Understanding Cognitive Foundations to Master Artificial Intelligence
In my self-directed journey into artificial intelligence, I’ve come to realize that grasping the fundamentals of cognitive science, mental modeling, and cognitive architectures is essential for building AI systems that are explainable, pedagogical, and socially mobilizing.
Cognitive science, as an interdisciplinary field, enables us to understand mental mechanisms such as perception, memory, reasoning, language, and learning. These pillars are foundational to any serious attempt at simulating human intelligence.
Cognitive modeling, explored in Module 2 of Wizape.com (chapters 2.6 to 2.8), aims to replicate these mental processes through computational models. It goes beyond mere imitation, seeking to reflect the internal logic of human functioning in order to design more robust and educational intelligent systems.
Cognitive architectures like ACT-R, SOAR, and CLARION provide formal frameworks for organizing artificial mental functions, perception, attention, memory, action, and learning. They embody a strategic ambition: to structure artificial intelligence on solid cognitive foundations.
I am convinced that this approach is crucial for the future of AI in Haiti, particularly in the fields of education, healthcare, industry, and territorial mobilization. It allows us to move beyond pure algorithms and integrate a human-centered, explainable, and mobilizing dimension.
I share this note as part of an intellectual capitalization and pedagogical transmission effort, with the intention of initiating an academic dialogue and laying the groundwork for Haitian research in cognitive AI.
Cognitive Modeling and Artificial Intelligence
Professor: Loveson VILSENAT