Teacher
Antonio Rodà
Dipartimento di Ingegneria Informatica, University of Padua
antonio.roda[at]unipd.it
ING-INF/05

Aim
Creativity plays a key role in many aspects of (intelligent) behavior, including problem-solving, scientific discovery, visual art, music, language (narrative, poetry), and design. Can we build computational systems that produce interesting/useful results through what must be attributable to creative means? If so, what does this mean? If not, why? Can these questions even be answered?
This course will introduce you to Computational Creativity, an interdisciplinary sub-field of Artificial Intelligence, that intersects directly with many other fields, including psychology, cognitive science, mathematics and engineering, to name a few, and indirectly with any number of application domains, from musical composition to the culinary arts to scientific discovery. 
Computer Science students will gain insights into one of the most advanced human skills, in the context of Artificial Intelligence studies. Students from other disciplines, instead, will have the opportunity to acquire more knowledge about cognitive processes related to the production of creative ideas, comparing computational and human creativity. Moreover, I hope both categories of students will increase the awareness of their own creativity, a very important skill in scientific research and the discovery of novel theories, approaches, and solutions.

Syllabus
- Introduction to human creativity and information-processing theories.
- Interactive tools for aiding/augmenting/amplifying human creativity.
- Autonomous creative systems: cognitive vs. engineering approach; creativity as search.
- Case studies of computational creativity: The painting fool, AARON, Poem machine, Musical intelligence.
- Methods for evaluating creativity

Introductory reading
Boden, M. A. (2009). Computer Models of Creativity. AI Magazine, 30(3), 23. https://doi.org/10.1609/aimag.v30i3.2254

Course requirements 
None

Examination modality
None

Course material, enrollment and last minute notifications 
Enrollment is mandatory at this Moodle address.

Schedule
10 April 2024, 10:00-13:00
11 April 2024, 10:00-13:00

Location
Room 2AB40 at the Dept. of Mathematics

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