This document discusses creativity and computational creativity. It defines creativity as the ability to generate novel, valuable, and surprising ideas or concepts. It notes creativity can be learned and developed through techniques. The document outlines human thinking processes involved in creativity like divergent and convergent thinking. It lists factors that make people creative like intelligence, knowledge, motivation, and thinking outside the box. Computational creativity is defined as using computers to model, simulate, or replicate human creativity through algorithms, data processing, and artificial intelligence without necessarily being creative itself. Challenges of computational creativity identified include formalizing creativity in automation and evaluating creative systems.

1. Autonomous Systems
CREATIVITYin
Dr. Sarah Shuchi, Postdoctoral Fellow
FOSTERING
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2. Creativity
Creativity is not just for artists, musicians, writers,
and designers. Creativity enters into virtually every
aspect of life.
‘Ability to genrate ideas or concepts that are novel, valuable and surprising’
P-CREATIVITY
Psychologically Creative
H-CREATIVITY
Historically Creative
It can be learned, practised and developed by the use
of proven techniques.
Margaret Boden
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3. and CREATIVITY
Human Thinking Process
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4. Thinking process
The orginal ‘eureka!’ moment
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Decide
What to do
Convergent
thinking
Explore
possibilities
Divergent
thinking

5. Logical
Sequential
Analytical
Rational
Objective
Random
Intuitive
Holistic
Synthesizing
Picture:https://www.linkedin.com/pulse/left-brain-vs-right-hr-logical-creative-anya-chupryna
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6. What makes people Creative?
Intelligence
Knowledge
Motivation
Environment
Curiosity
Inspiration
Challenge
Thinkingoutsideofthebox
Expertise
latent inhibition
Learningprocess
Socio-cultural
Love of experimentation
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7. CREATIVITY
Computational
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8. Computational Creativity
A multidisciplinary endeavour that is located at the intersection of the
fields of artificial intelligence, cognitive psychology, philosophy and arts.
Model, Simulate or Replicate creativity using a
computer.
Design a program that can enhance human creativity
without necessarily being creative themselves.
Construct a program or computer capable of human-level
creativity.
Formulate algorithmic perspective on human creative
behaviour.
Goal
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9. Computational Creativity
Generative art system AARON
Music, Film, Visual Art, TV, aged care, food
IBM - Culinary recipes
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Social robot
Biometric robot MiRo

10. What makes Creative Machine?
Data processing
Cognitivethinking
Computational ability
Automation
Biomimicry
Self replicate
Neural network
ArtificialIntelligence
Algorithm
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11. Challenges Identified
Fostering richness and subtlety of human thought
Formalisation of creativity in automation
Evaluating creative systems
Cognitive thinking, curiosity and intrinsic motivation
Identify drivers, tools and mechanism
Characterisation and benchmark of creativity
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12. Thanks For Listening!
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