From an external perspective, cognitive agent behaviour can be described by specifying (temporal) correlations of a certain complexity between stimuli (input states) and (re)actions (output states) of the agent. From an internal perspective the agent’s dynamics can be characterized by direct (causal) temporal relations between internal cognitive states of the agent. Internal dynamics and externally observable behaviour of an agent have reciprocal relations with each other. This paper contributes an approach that allows automatic generation of a behavioural specification of an agent from a cognitive process model. Furthermore, by this automated transformation, internal cognitive state properties of an agent can be related by a representation relation to externally observable behavioural patterns.