Home /Research /Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems
SWARM

Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems

Panagiotis Kouvaros, Alessio Lomuscio, Edoardo Pirovano

Year
2018
Citations
8
Access
Open access

Abstract

We study the problem of determining the robustness of a multi-agent system of unbounded size against specifications expressed in a temporal-epistemic logic. We introduce a procedure to synthesise automatically the maximal ratio of faulty agents that may be present at runtime for a specification to be satisfied in a multi-agent system. We show the procedure to be sound and amenable to symbolic implementation. We present an implementation and report the experimental results obtained by running this on a number of protocols from swarm robotics.

Keywords

Robustness (evolution)Computer scienceFault toleranceMulti-agent systemRoboticsSwarm roboticsDistributed computingModel checkingTemporal logicTheoretical computer science

Related papers

Browse all SWARM papers