brunocampos01/inteligencia-artificial
Aulas e exercícios da matéria: Sistemas inteligentes (INE5633).
This content provides educational materials and exercises for understanding fundamental concepts in Artificial Intelligence, including search algorithms and knowledge representation. It takes theoretical inputs like problem definitions and graph structures, and demonstrates how to derive optimal sequences of actions. Students and educators in computer science or AI programs would find this useful for learning and teaching core AI principles.
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Use this if you are a student or instructor looking for structured lessons and examples on AI search methods and knowledge representation.
Not ideal if you are looking for an AI tool or library to directly apply to a specific real-world dataset or business problem.
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Python
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MIT
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Last pushed
Feb 14, 2022
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