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Game AI // multi-agent behavior // simulation

AI at Monopoly: agents, negotiation and cheating

Experiment where several AI agents play Monopoly to observe strategy, negotiation, errors, opportunistic behavior and closed-rule game limits.

The project

This project makes AI agents play Monopoly to observe strategies, mistakes and reactions inside a clear but socially ambiguous rule system.

Technical angle

The simulation needs a rules engine, game state, turn loop, agent decisions, negotiations and action logs.

What it proves

The project shows how to test agents in a closed environment where decisions, negotiations and rule compliance are verifiable.