2018 IJCAI IJCAI 2018

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

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.

🧭 Keyword Pioneer — swarm robotics
🐣 Hot Topic Early Bird — multi-agent system
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics
🌉 Interdisciplinary Bridge — Artificial Intelligence and Knowledge & Reasoning