Ali Moghani - Department of Color Physics, Institute for Colorants Paint and Coating, Tehran, Iran.
Parviz Nasiri - Department of Statistic, Faculty of Science, Payame Noor University, Tehran, Iran

Human perceives color in categories, which may be identified using color name such as red, blue, etc. The categorization is unique for each human being.However despite the individual differences, the categorization is shared among members in society. This allows communication among them, especially whenusing color name. Sociable robot, to live coexist with human and become part of human society, must also have the shared color categorization, which can be achieved through learning. Many works have been done to enable computer, as brain of robot, to learn colorcategorization, most of them rely on modeling of human color perception and mathematical complexities. This work aims at developing the innate ability of thecomputer to learn the human-like color categorization. It focuses on the representation of color categorization and how it is built and developed without much mathematical complexity in a three-dimensional color space, called HSV (Hue, Saturation and Value).

Computational model, Fuzzy color naming, HSV color space