Logic-based Specification and Verification of Homogeneous Dynamic Multi-agent Systems

TL;DR

This paper introduces a logic-based framework for specifying and verifying homogeneous dynamic multi-agent systems, allowing formal reasoning about system behaviors with varying agent counts and actions using an extended ATL logic.

Contribution

It develops a novel formal logic and verification algorithm for dynamic multi-agent systems with homogeneous agents, incorporating Presburger arithmetic for symbolic state transition specification.

Findings

Formal semantics for the extended ATL logic $L_{HDMAS}$

Algorithm for model checking in finite HDMAS models

Complexity analysis and illustrative example

Abstract

We develop a logic-based framework for formal specification and algorithmic verification of homogeneous and dynamic concurrent multi-agent transition systems (HDMAS). Homogeneity means that all agents have the same available actions at any given state and the actions have the same effects regardless of which agents perform them. The state transitions are therefore determined only by the vector of numbers of agents performing each action and are specified symbolically, by means of conditions on these numbers definable in Presburger arithmetic. The agents are divided into controllable (by the system supervisor/controller) and uncontrollable, representing the environment or adversary. Dynamicity means that the numbers of controllable and uncontrollable agents may vary throughout the system evolution, possibly at every transition. As a language for formal specification we use a suitably extended version of Alternating-time Temporal Logic (ATL), where one can specify properties of the type "a coalition of (at least) $n$ controllable agents can ensure against (at most) $m$ uncontrollable agents that any possible evolution of the system satisfies a given objective $\varphi$", where $\varphi$ is specified again as a formula of that language and each of $n$ and $m$ is either a fixed number or a variable that can be quantified over. We provide formal semantics to our logic $\mathcal{L}_{HDMAS}$ and define normal form of its formulae. We then prove that every formula in $\mathcal{L}_{HDMAS}$ is equivalent in the finite to one in a normal form and develop an algorithm for global model checking of formulae in normal form in finite HDMAS models, which invokes model checking truth of Presburger formulae. We establish worst case complexity estimates for the model checking algorithm and illustrate it on a running example.