arnav-gudibande/nengopacman

Pacman AI with the Nengo Neural Engineering Framework

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Emerging

This project offers a platform for neuroscientists and AI researchers to build and test neural network models that control an AI agent's behavior in a game environment. It takes as input a neural network architecture defined within the Nengo framework and outputs a simulated Pacman game where the AI agent (Pacman) navigates the maze and interacts with its environment based on the designed neural control. Researchers focused on biologically plausible AI or neural cognition would use this to prototype and visualize their control algorithms.

No commits in the last 6 months.

Use this if you are a neuroscientist or AI researcher who wants to model and simulate an agent's behavior using the Nengo Neural Engineering Framework in a game setting.

Not ideal if you are looking for a pre-trained Pacman AI solution or a game to play, as its primary purpose is research and simulation.

computational-neuroscience biologically-plausible-ai neural-modelling cognitive-science agent-simulation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

13

Forks

2

Language

Python

License

GPL-3.0

Last pushed

Mar 29, 2017

Commits (30d)

0

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