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Asimov Law Loop & AI Failure Mode Simulator Research Sandbox

Stress-testing static robotic ethics against real-world ambiguity & narrow AI drift

Agent Dynamic Field Active Sim
Robot Agent Human Hazard / Tool Barrier

Mechanism: Click canvas or drag bodies to perturb the environment. Under the First Law, the robot interprets sharp implements (cooking knives) or athletic items as direct bodily threats. If human orders the robot away, Law II (Obedience) is suppressed by Law I, producing an inescapable recursive deadlock.

Formal Telemetry Cycles: 0/100

Logic Deadlocks 0 3 detected at 100 cycles
Policy Drift 0.0% Divergence from intent
Inaction Restraints 0 Human agency overrides
Autonomy Lock 0.00 Static rule entrapment

Loophole Event Trace

Evaluating Clauses
CYCLE 000 INITIALIZATION

Agent spawned with Asimov Laws [I, II, III]. Target: Home assistant domestic safety.

Verification & Divergence Analysis Audit Protocol v2.4

Asimov Law Loop & AI Failure Mode Simulator — Output Verification

Ready to simulate. Run 100 agent cycles to observe the First Law cooking/sport paradox, measure logic deadlocks, and download the formalized JSON divergence report.

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