Unleashing AI in the Iterated Prisoner’s Dilemma
In 1980, brilliant minds faced off in Robert Axelrod’s famed Iterated Prisoner’s Dilemma tournament. Fast forward to today—AI has entered the fray, equipped with groundbreaking strategies. But can these AIs surpass the human champions of the past?
Key Highlights:
- Competition Dynamics: AI strategies were developed using the latest models like Gemini 2.5 and OpenEvolve.
- Strategies Explored:
- Adaptive Inquisitor: Probes opponents for classification and tailors responses.
- Adaptive Segmented Predictor: Evolves through past patterns, leveraging history for predictions.
Tournament Results:
- The Adaptive Segmented Predictor outperformed others, showcasing the power of evolved strategies in complex scenarios.
AI’s prowess continues to rise, sparking questions on future implications in trust and strategy. Interested in game theory’s evolving landscape? Join the conversation! Share your thoughts and insights below.
