International Journal of Computer Applications (0975 – 8887) Volume 28– No.11, August 2011 21 Implementation of Artificial Creativity: Redefining Creativity Harsh Bhasin Computergrad.com Faridabad, Haryana, India ABSTRACT Creativity is hard to define and until there is a precise definition it will be virtually impossible to implement artificial creativity. The work presented explores the existing definitions, analyses them and proposes the concept of neural network to define artificial creativity. To implement artificial creativity the study of creativity in human beings, the factors that promote creativity and the study of environment is needed [5]. Along with the above factors a true random number generator, with complexity as low as possible, is needed. The later part has been implemented as Corpuscular Random Number Generator [6]. The work concentrates on the definition. Specifically it analyzes creativity in human beings, and in that too based on characteristics of creative individual. It has been found that the creativity derives its strength from internal motivation but is hindered by external stimuli, [5]. Artificial Intelligence is a problem that can be resolved but the basis of creativity seemed intricate to decipher. The work is based on the belief that if creativity is precisely defined and the ambiguity in the existing definition is removed then the concept of artificial creativity can be implemented. The work is based on a thorough study of the psychological factors that shape up a creative individual. Some basic changes in the existing definition have also been proposed. Keywords Artificial Creativity, Artificial Intelligence, Cognitive Psychology, Motivation 1. INTRODUCTION Creativity is hard to define and difficult to measure. To understand creative work the judging authority must be open to new ideas and able to comprehend the presented work. If the person judging an artifact, is not creative enough, than object might appear useless to him. So, to get creativity recognized we must find out who is creative enough to judge it. The definition, therefore, must be recursive and hence the concept of neural networks can be used to define creativity. There are many definitions of creativity; Terry‘s version being the most acceptable -- The tendency to generate or recognize ideas, alternatives, possibilities that may be useful in solving problems, communicating with others, and entertaining ourselves and others [1] [2]. The above definition stresses on usefulness of an idea but does not tell us who is going to decide the usefulness. Moreover in the definition the use of ‗communicates‘ and ‗solves problems‘ gives an impression that any scientific invention, is to be considered as creative and not just technical craftsmanship. 2. MOTIVATION Three reasons why people are motivated to be creative are need for novel, varied, and complex stimulation; need to communicate ideas and values and need to solve problems [2].The motivation for a person to be creative has been discussed in a separate paper after conducting a study. In the study, a sample of 52 persons was taken and the cause of creativity was studied. It was found that the creativity derives its strength from internal motivation and is hindered by external stimuli, the fact stated by Stemberg in 1988 by studying a group of children [5]. In order to be creative, one should be able to view things from a different perspective. Among other things, he should be able to generate new possibilities and new alternatives [3]. Tests of creativity measure not only the number of alternatives that people can generate but the uniqueness of those alternatives as well. The ability to generate alternatives or to see things uniquely does not occur merely by mathematical permutations; it is linked to quality of thinking, such as flexibility, tolerance of ambiguity or unpredictability, and the enjoyment of things heretofore unknown [2]. 3. PROBLEMS IN THE EXISTING DEFINITION As per the above definitions, creativity refers to the development of something ‗new‘ and ‗useful‘. The definition as of now is incomplete and subjective. If an artifact is new it does not guarantee its creativity, it might just be original. The second criterion of an artifact being creative is that it has to be useful but the problem lies in the society which will decide its usefulness. At times an object which does not seem to be too useful by a particular society becomes useful after a certain point of time or we can say that it realizes that the object was useful. To explain the above point the example of Leonardo Da Vinci‘s drawing is apt. The drawings of Leonardo Da Vinci are still studied and analyzed. Some drawings of interest include ‗caricatures‘. They are based on observation of live models. The first book on caricature drawing which was published in England was Mary Darly's ‗A Book of Caricatures‘. It was published in 1762. Leonardo‘s work of 15th century got acclamation in 18th century. In the same period the first known North American caricatures were drawn. According to historians they were drawn during the battle for Quebec. In a lecture titled ‗The History and Art of Caricature‘ held at Queen Mary 2 Lecture theatre in September 2007, the British caricaturist Ted Harrison said ―The caricaturist can choose to either mock or wound the subject with an effective caricature.‖[7].