Computational Creativity: Pointing to the Past ↔ Pointing to the Future – Cybernetic Pattern Flows
Computational Creativity: Pointing to the past ↔ Pointing to the Future – Cybernetic Pattern Flows
1. Computer Science
7. Art, Design, Music, Literature
Approaching Computational Creativity has been an interesting concept since the beginning of computing. Creativity has been seen to be a uniquely human quality historically. For some, creativity and a sense of poetics separated the abilities of human from the functional capacities that the computer enabled. In this sense the question of creativity as it applies to computing is very thorny, in fact many people still question art made by computers. Is the computer creative or is the programmer? What will happen when computers become more and more autonomous? How can computers work productively with artists and designers to achieve things that neither could alone.
This paper will take a survey approach to the history of notions surrounding computational creativity as it relates to cybernetics. It will discuss human creativity providing a definition; explore the modeling of creativity via computation; discuss multiple cybernetic methodologies and how creativity has been approached historically; it will explore creativity in terms of Neosentience research (Seaman and Rössler 2010) an autonomous robotic learning system; and finally the paper will project and discuss the future potentials of creativity as they relate to cybernetics and other contemporary approaches.
The paper will discuss how research into creativity has impacted the history of cybernetics. Where computational creativity was once a glass ceiling, differing approaches have opened up new possibilities especially in terms of robotics and learning systems. Much debate surrounds the Singularity (Kurzweil) yet the paper will discuss how this might impact the future of computation.
The paper will discuss the development of new forms of computation that empower the exploration of human/computer creativity and how these approaches can be practically applied. Such systems will have huge impact on how many processes that formerly were only approached though human effort, might be enhanced though human/computer symbiosis. If computers can be autonomous, what will their aesthics be? How will they learn about notions of abstraction and historical human values? How will autonomous computers interact with humans in terms of collaborative creative efforts? How will this chance the design industry? Might there be autonomous computer artists?
Computational creativity will have a huge social impact, yet it may be introduced slowly and be non-visible at first. Like other computational and robotic practice, “creative” computers may replace to some degree their human co-workers. Will humans always have their own special qualities when it comes to creativity? What new potentials might computers bring to the table.
Such systems will impact aesthetics and how differing processes in art, design, and industry are approached. How we approach new forms of code authorship, working in the service of creative processes, will take many differing forms. Initially these forms will be highly transparent but as computers take on a greater sense of autonomy in decision-making, great travels into un-navigated waters will open up.
- 1) Computer science; AI; robotics
- 7) Art; design; music; literature