- author = "Rob Saunders",
- title = "Curious Design Agents and Artificial Creativity A Synthetic Approach to the Study of Creative Behaviour",
- school = "Department of Architectural and Design Science, Faculty of Architecture, University of Sydney",
- year = "2002",
- address = "Australia",
- month = feb,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://web.arch.usyd.edu.au/~rob/publications/thesis/thesis/thesis.pdf",
-
URL = "
https://www.robsaunders.net/publication/curious-design-agents-and-artificial-creativity/",
-
URL = "http://www.worldcat.org/title/curious-design-agents-and-artificial-creativity-a-synthetic-approach-to-the-study-of-creative-behaviour/oclc/223332128",
-
bad_url = "https://sydney.primo.exlibrisgroup.com/discovery/sourceRecord?vid=61USYD_INST:sydney&docId=alma991013719009705106&recordOwner=61USYD_INST",
- size = "130 pages",
-
abstract = "Creative products are generally recognised as
satisfying two requirements: firstly they are useful,
and secondly they are novel. Much effort in AI and
design computing has been put into developing systems
that can recognise the usefulness of the products that
they generate. In contrast, the work presented in this
thesis has concentrated on developing computational
systems that are able to recognise the novelty of their
work. The research has shown that when computational
systems are given the ability to recognise both the
novelty and the usefulness of their products they gain
a level of autonomy that opens up new possibilities for
the study of creative behaviour in single agents and
the emergence of social creativity in multi-agent
systems.
The work presented in this thesis has developed a model of curiosity in design as the selection of design actions with the goal of generating novel artifacts. Agents that embody this model of curiosity are called curious design agents. The behaviour of curious design agents is demonstrated with a range of applications to visual and nonvisual design domains. Visual domains include rectilinear drawings, Spirograph patterns, and genetic artworks similar to the work of Karl Sims. Non-visual domains include an illustrative abstract design space useful for visualising the behaviour of curious agents and the design of doorways to accommodate the passage of large crowds. The design methods used in the different domains show that the model of curiosity is applicable to models of designing by direct manipulation, parametric configuration or by using a separate design tool that embodies the generative aspects of the design process.
In addition, an approach to developing multi-agent systems with autonomous notions of creativity called artificial creativity is presented. The opportunities for studying social creativity in design are illustrated with an artificial creativity system used to study the emergence of social notions of whom and what are creative in a society of curious design agents. Developing similar artificial creativity systems promises to be a useful synthetic approach to the study of socially situated, creative design.",
