Resumen:
This paper applies components of cognitive architectures to hygrothermal (humidity and temperature) control in a simulated room; an agent can affect the room hiygrothermal state. Hygrothermal control and its optimization is an important field of research due to constraints on fuel acquisition and the transition to renewable energies. The cognitive theory looks to model a mind’s behavior as the joint work of multiple components. This first work implements two features of cognition related to hygrothermal regulation: procedural memory and attention. An agent uses these two modules to control the hygrothermal state of a room under environmental pressure.