Can a computer truly be creative? This is the philosophical question that defines this thesis. It is suggested that the only way for this question to be answered in the affirmative, is to thoroughly investigate the cognitive nature of creativity. First the thesis proposes a definition of creativity based on cognitive research, human intuition and artificial creativity debates. This definition accounts for not only that thecreative product has to be both novel and useful, but that the creative agent has to exceed a certain level of cognitive maturity (in thesis referred to as - intelligence) and be aware of the creative process and context. The framework for the creative process isfounded on the psychologically supported notion of a circle of divergent and convergent thinking, and a cognitive machinery of conceptual blending. It is in the framework of the creative process that the criterion for the creative productis generated. In the circle of divergent and convergent thinking and through conceptual blending, novel ideas are first generated, then evaluated. For this to be possible thecreative agent has to exceed a certain level of cognitive abilities, and in order to properly evaluate the product, it also needs to have awareness of the process and context to beable to evaluate the product. A second part of the thesis looks at problems with AI and what that means for the approaches to artificial creativity. By using the reasoning behind the definition, the possibility to create truly creative computers are proposed and discussed. In the line of the definition a conceptual suggested approach is presented, that if satisfied it is the author’s suggestion that the artificial system should be deemed "creative". The artificial agent has far to go before it is equal in cognitive maturity to human intellect, and the capacity for awareness of the process and context is debatable. Genetic algorithms, randomness and perception is presented as possibilities for artificial agents to create novelty, and a multi layered processing system build on learning through perception, and evaluation build on key concepts from context and statistics of previous knowledge, is introduced as possible means of creating artificial creativity.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-102006 |
| Date | January 2013 |
| Creators | Hedblom, Maria |
| Publisher | Linköpings universitet, Institutionen för datavetenskap, Linköpings universitet, Filosofiska fakulteten |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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