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MCTS

Leverages Monte Carlo Tree Search and Bayesian analysis to provide AI-assisted reasoning and deep exploration of topics.

关于

Provides a Model Context Protocol (MCP) server that utilizes an Advanced Bayesian Monte Carlo Tree Search (MCTS) engine, enabling AI assistants like Claude to perform in-depth analysis and reasoning. By exploring various angles and interpretations through multiple iterations, the MCTS algorithm delivers insightful analyses that evolve continuously, offering a powerful tool for understanding complex subjects.

主要功能

  • Employs Bayesian MCTS for probabilistic exploration and exploitation balancing.
  • 2 GitHub stars
  • Supports multi-iteration analysis with multiple simulations per iteration.
  • Classifies generated thoughts into philosophical approaches.
  • Offers both Thompson Sampling and UCT for node selection.
  • Maintains state persistence, remembering key results and approaches.

使用案例

  • Deep, explorative analysis of complex topics and questions.
  • AI-assisted reasoning and problem-solving.
  • Enhanced decision-making through systematic exploration of possibilities.
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