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The paper proposes a novel cognitive architecture (CA) for computationalcreativity based on the Psi model and on the mechanisms inspired by dualprocess theories of reasoning and rationality. In recent years, many cognitivemodels have focused on dual process theories to better describe and implementcomplex cognitive skills in artificial agents, but creativity has beenapproached only at a descriptive level. In previous works we have describedvarious modules of the cognitive architecture that allows a robot to executecreative paintings. By means of dual process theories we refine some relevantmechanisms to obtain artworks, and in particular we explain details about theresolution level of the CA dealing with different strategies of access to theLong Term Memory (LTM) and managing the interaction between S1 and S2 processesof the dual process theory. The creative process involves both divergent andconvergent processes in either implicit or explicit manner. This leads to fouractivities (exploratory, reflective, tacit, and analytic) that, triggered byurges and motivations, generate creative acts. These creative acts exploit boththe LTM and the WM in order to make novel substitutions to a perceived image byproperly mixing parts of pictures coming from different domains. The paperhighlights the role of the interaction between S1 and S2 processes, modulatedby the resolution level, which focuses the attention of the creative agent bybroadening or narrowing the exploration of novel solutions, or even drawing thesolution from a set of already made associations. An example of artificialpainter is described in some experimentations by using a robotic platform.

Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches