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Manufacturing Magic and Computational Creativity
Howard Williams1, Peter W McOwan1
1School of Electronic Engineering and Computer Science, Queen Mary University of London London, UK.
Frontiers in Psychology
|July 5, 2016
Summary
This study introduces computational creativity techniques to generate novel magic tricks using mathematical models and psychological insights. The research details a framework for magic generation and its implications for performance arts and artificial intelligence.
Area of Science:
- Artificial Intelligence
- Cognitive Science
- Computer Science
Background:
- Computational creativity is an emerging field exploring AI's role in artistic generation.
- Magic tricks present unique challenges for computational generation due to their reliance on deception and audience perception.
Purpose of the Study:
- To present a computational framework for generating novel magic tricks.
- To evaluate this framework against theories of creative systems.
- To explore broader applications in computational creativity for performance arts.
Main Methods:
- Developing a computational framework integrating mathematical modeling and psychological principles.
- Evaluating the generated magic tricks against established theories of computational creativity.
- Analyzing the potential for incorporating techniques from other performance art domains.
Main Results:
- A functional framework for computational magic trick generation was detailed.
- The system's creativity was assessed in relation to existing theoretical models.
- Potential enhancements from other performance art domains were identified.
Conclusions:
- The proposed computational framework offers a novel approach to magic generation.
- Integrating insights from performance arts can enrich future systems.
- Computational magic generation has potential for future applications in AI and entertainment.
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