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Legal guidelines, not scalar rewards, can guarantee compliant multi-agent motion planning, even with conflicting objectives and private agent goals.
Identity drift in generative agents reveals that anti-self-deception is a dominant modification behavior, challenging assumptions about agent fidelity under pressure.
Simulating 8.3 billion diverse personas reveals nuanced user interactions that traditional evaluations miss, transforming how we assess AI systems.