Generalizing the Turing Test to Interactive Agents
This work introduces the Generalized Turing Test (GTT) to compare AI agents based on indistinguishability rather than fixed datasets. It formalizes a test where an actor tries to fool a distinguisher into thinking it is another agent. The framework allows for analyzing complex relationships between agents, suggesting a foundation for evaluating intelligence independent of specific benchmarks.