The Agent Working Cycle in CATALINA

CATALINA is an agent architecture conceived to extend a Practical Reasoner architecture inspired by Bratman’s BDI paradigm with capacities that are central to agentive guidance: executive function, attention modulation, and the global availability of desire-relevant information [1, 2]. This paper discusses the CATALINA agent working cycle that exploits the desired architectural features and is an extension of the classical MAPE (Monitor-Analyse- Plan-Execute) loop. We also propose an implementation of our architecture and an experimental setup developed to test CATALINA’s agent features in two different scenarios.