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On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing

AAAI 2024 · Multi-agent systems and games › Games and equilibria · approach: Learning with strategic agents · 4 citations (OpenAlex)

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Proposes HyperATL*_S, extending ATL* with path variables (hyperproperties) and strategy-sharing constraints, proves decidability of model checking via alternating parity automata, and implements it in the HyMASMC tool evaluated on ISPL benchmarks.

Problem

ATL* can only reason about a single path in isolation, so it cannot compare multiple strategic interactions (hyperproperties) or require several agents to follow the same strategy.

Approach

Extend HyperATL* with a sharing constraint on strategy quantifiers so agents can be forced to play the same strategy, and give a model-checking algorithm that eliminates path quantifiers incrementally using alternating parity automata over zipped path assignments, simulating the game inside the automaton.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use HyMASMC instead of MCMAS-SL[1G]ATL* scheduling verification · Scheduling, n=2verification time: 0.11 -> 0.41Hurt
Use HyMASMC instead of MCMAS-SL[1G]ATL* scheduling verification · Scheduling, n=3verification time: 6.64 -> 2.06Helped
Use HyMASMC instead of MCMAS-SL[1G]ATL* scheduling verification · Scheduling, n=4verification time: 322.7 -> 24.3Helped
Use HyMASMC instead of MCMAS-SL[1G]ATL* scheduling verification · Scheduling, n=5verification time: TO -> 347.1Helped

Surprising findings

Limitations

Experimental setup

Datasets: ISPL models from MCMAS benchmarks (bit-transmission, book-store, card-game, dining cryptographers, muddy-children, simpl

Benchmarks: ISPL models from MCMAS parametric scheduler benchmark

Metrics: verification time (seconds)

Baselines: MCMAS-SL[1G]

Builds on: ATL* HyperATL* HyperLTL strategy logic

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