Semantic logging in a distributed multi-agent system

The paper presents a semantic logging framework which allows structured information logging in an agent-based distributed system for chemical incident response. The logging framework is “semantic” because it allows semantic interpretation of logs according to relationships defined between logging events. For example, this approach could help the reconstruction of the order of events that occurred during the response to an incident, thus giving a detailed view of system execution trace, as well as of agents´ decisions taken at various decision points during the incident management workflow. We intend to use semantic logs (i) for helping experts to analyze and explain system actions and thus improving system response to future incidents, as well as (ii) for training stakeholders by setting the system to run replay-like simulations of past incident management workflows.