Creative evolutionary system

In the field of industry design, the affective response characteristic can plays a significant role that could grasp customer’s attention in product. Especially, the design strategy of ‘‘affection-prerequisite’’ shows the importance of the trend of customer-oriented for the industry products. Up to date, in consideration of the rapidly life-cycle on industrial design field, however, how designers can retrieve customer’s affective response promptly and using such information into their design work efficiently are significant, but not discussed yet. Based on this concept, the objective of this research is to present a creative stimulation system for designers. The ‘‘wisdom of crowds’’ was collected via the Web in order to ascertain customers’ affective responses to product shapes. This data was used to create an evolutionary design system platform by using a design alternatives generation mechanism. The study involved integrating an interactive genetic algorithm into the mechanism to generate an interactive creative stimulation system. An affective design of the shape of a mobile phone was used as an example of implementation and also used as a proof of the research concept. Relevance to industry: HIGA and ESC methods proposed in this research provide the usage of the affective evaluation system for acquiring the customers’ affective responses in the conceptual design process of a mobile phone. This design-generation process allows the design stakeholders to realize their customers’ affective responses interactively with sharing floating data among them according to the daily update of customer’s evaluations.

The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and imple- ment complex cognitive skills in artificial agents, but creativity has been approached only at a descriptive level. In previous works we have described various modules of the cognitive architecture that allows a robot to execute creative paintings. By means of dual process theories we refine some relevant mechanisms to obtain artworks, and in particular we explain details about the resolution level of the CA dealing with different strategies of access to the Long Term Memory (LTM) and managing the interaction between S1 and S2 processes of the dual process theory. The creative process involves both divergent and convergent processes in either implicit or explicit manner. This leads to four activities (exploratory, reflective, tacit, and analytic) that, triggered by urges and motivations, generate creative acts. These creative acts exploit both the LTM and the WM in order to make novel substitutions to a perceived image by properly mixing parts of pictures coming from differ- ent domains. The paper highlights the role of the interaction between S1 and S2 processes, modulated by the resolution level, which focuses the attention of the creative agent by broadening or narrowing the exploration of novel solutions, or even drawing the solution from a set of already made associations. An example of artificial painter is described in some experimentations by using a robotic platform.