GitHub / meltingmettle / MerlinsCrystalBall
An algorithm for the popular social deduction game Avalon. In a game based on social deduction, visual cues, deception, and unpredictability, can a minions intent be revealed by careful objective analysis? Currently developing a neural network via Tensorflow. Input teams, player votes, and mission outcomes, and recieve a dynamic probability assesment of which players are malicious Minions of Mordred.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/meltingmettle%2FMerlinsCrystalBall
PURL: pkg:github/meltingmettle/MerlinsCrystalBall
Stars: 3
Forks: 1
Open issues: 0
License: None
Language: Python
Size: 60.5 KB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: about 4 years ago
Pushed at: about 7 years ago
Last synced at: over 2 years ago
Topics: avalon, deduction-system, neural-network, not-finished, not-the-repo-you-are-looking-for, resistance-game, resistance-game-solver, social-network-analysis, supervised-machine-learning, tensorflow