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Developed a Wumpus World Knowledge Base Agent using React, implementing AI-based logical reasoning, BFS exploration, and resolution-based inference for safe navigation in a dynamic grid environment.
The system generates a configurable world with rows, columns, and number of pits, allowing users to customize difficulty and explore AI decision-making behavior in real time.
It intelligently uses percepts (breeze & stench) to build a knowledge base and determine safe paths while avoiding pits and the Wumpus using logical inference.
Live Demo: https://lnkd.in/dn9dvguP
GitHub: https://lnkd.in/dHWh85pc
Very impressive! Combining BFS, logical inference, and real-time AI decision-making makes this a great demonstration of practical AI reasoning. 🚀
Combining logical reasoning with grid-based search in React is a super cool implementation love seeing AI algorithms brought to life on the frontend.
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