Project: Mutli User Turing Game

[uskudarli]

Project Description

Abstract:

This project aims to develop a Multi-User Turing Game, an interactive platform where users engage in real-time conversations to distinguish between human and AI participants. The game incorporates a mature chat engine (e.g., IRC) for multi-user interaction and features an advanced AI-driven chat system capable of modeling natural human discourse. The system will include bot detection mechanisms, bot-to-bot interactions, and dynamic game mechanics that adapt to user behavior. The final deliverable will be a functional web-based interface integrating real-time chat, game logic, and AI-powered conversation modeling.

Objectives:

• Develop an Intuitive UI for Real-Time Interaction

  • Design a user-friendly interface for seamless chat-based interactions.
  • Implement visual elements for tracking user/bot identities and game progress.

• Integrate with a Mature Chat Engine (e.g., IRC or WebSockets)

  • Ensure robust multi-user communication with real-time message handling.
  • Support multiple chat rooms with structured game sessions.

• Develop a Chat Engine for Natural Discourse Modeling

  • Implement bot detection algorithms to assess linguistic features and behavioral patterns.
  • Design Bot-to-Bot Interaction mechanics, allowing AI agents to communicate dynamically.
  • Optimize chat interactions to simulate natural human conversation convincingly.

• Define and Implement Game Dynamics

  • Establish rules for gameplay, scoring, and decision-making (e.g., players vote on AI vs. human).
  • Introduce adaptive difficulty where AI evolves based on game history.
  • Possibly, leaderboards and performance analytics for player engagement.

Methodology:

• Frontend Development: Develop a responsive web interface using React, Vue, or another modern framework.
• Backend & Chat Engine: Integrate with an existing chat protocol (e.g., IRC) and develop custom AI chat components.
• AI & Bot Development: Train and fine-tune models for bot behavior using NLP techniques and reinforcement learning.
• Evaluation & Testing: Conduct human-vs-bot interaction experiments and analyze bot detection accuracy.

Expected Outcomes:

• A fully functional multi-user game environment where players test AI detection skills.
• A chat engine that facilitates human-like AI conversations and adaptive bot interactions.
• Insights into bot detection strategies and game-based AI evaluation.