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Temporal Code Intelligence platform analyzing Git history patterns to predict quality evolution and maintenance burden. Conversational AI agent reveals complexity trends, decay forecasting, and codebase health through mathematical pattern analysis and natural language interactions.
Experimental framework for multi-agent coordination and collaborative learning architectures. Research platform exploring agent-based learning systems, coordination protocols, and emergent behavior analysis. Progressive tutorials from reactive agents to AI-driven distributed systems.
First practical work about reactive agents developed for the subject Introduction to Artificial Inteligence of the bachelor in Design and Multimedia at University of Coimbra, year of 2019/2020.
This program based on plants vs zombies simulates the problem of the sample collecting robot (multi-agent system) proposed to be carried out with the A* informed search algorithm where the samples will be found and grouped into clusters, using crumbs to trace the path to the ship. and describe the collaboration between agents.