We present MCMAS, a model checker for the verification of multi-agent systems. MCMAS
supports efficient symbolic techniques for the verification of multi-agent systems against …

We present an automata-based algorithm for checking finite state systems for
hyperproperties specified in HyperLTL and HyperCTL^*. For the alternation-free fragments …

A computational system is called autonomous if it is able to make its own decisions, or take
its own actions, without human supervision or control. The capability and spread of such …

Agent systems are distributed systems consist of agents that autonomously interact to each
other in an environment to perform tasks and achieve goals. Performing verification is …

What makes teamwork tick? Cooperation matters, in daily life and in complex applications.
After all, many tasks need more than a single agent to be effectively performed. Therefore …

While modeling trust in multi-agent systems provides a fundamental basis for promoting safe
interactions and imitating agents reasoning mechanisms, exploiting model checking …

This paper presents mcmas, a model checker for Multi-Agent Systems (MAS). Differently
from traditional model checkers, mcmas permits the automatic verification of specifications …

We present a methodology for the verification of multi-agent systems, whose properties are
specified by means of a modal logic that includes a temporal, an epistemic, and a modal …

Many AI applications involve the interaction of multiple autonomous agents, requiring those
agents to reason about their own beliefs, as well as those of other agents. However …

We introduce a model for agent-environment systems where the agents are implemented via
feed-forward ReLU neural networks and the environment is non-deterministic. We study the …