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Probabilistic Strategy Logic with Degrees of Observability

AAAI 2025 · Multi-agent systems and games › Games and equilibria · approach: Strategic classification · 0 citations (OpenAlex)

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Extends Probabilistic Strategy Logic with observability and degree-of-observability operators for information transparency in partially observable stochastic MAS, and shows memoryless-strategy model checking is decidable (3EXPSPACE).

Problem

Existing logics such as PSL cannot express information transparency, i.e., the extent to which agents' behaviours and actions are observable by other agents, in stochastic multi-agent systems.

Approach

Introduces oPSL, adding an observability operator (opacity-style: a property is observable to agent i if no observationally equivalent path violates it) and a degree-of-observability term defined as the conditional probability of observable satisfying paths, interpreted under strategy bindings; model checking reduces to real arithmetic with memoryless strategies.

Key results

Limitations

Experimental setup

Baselines: PSL PATL* incomplete-information PATL*

Builds on: Probabilistic Strategy Logic Strategy Logic opacity framework PCTL* model checking

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