Implementing feedback in creative systems: a workshop approach

Joseph Corneli, Anna Jordanous

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One particular challenge in AI is the computational modelling and simulation of creativity. Feedback and learning from experience are key aspects of the creative process. Here we investigate how we could implement feedback in creative systems using a social model. From the field of creative writing we
borrow the concept of a Writers Workshop as a model for learning through feedback. The Writers Workshop encourages examination, discussion and debates of a piece of creative work using a prescribed format of activities. We propose a computational model of the Writers Workshop as a roadmap
for incorporation of feedback in artificial creativity systems. We argue that the Writers Workshop setting describes the anatomy of the creative process.
We support our claim with a case study that describes how to implement the Writers Workshop model in a computational creativity system. We present this work using patterns other people can follow to implement similar designs in their own systems. We conclude by discussing the broader relevance of this model to other aspects of AI.
Original languageEnglish
Title of host publicationProceedings of the First International Workshop on AI and Feedback, AInF 2015, co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 26, 2015.
PublisherCEUR Workshop Proceedings (CEUR-WS.org)
Pages10-17
Number of pages8
Publication statusPublished - 22 Jul 2015

Fingerprint

Dive into the research topics of 'Implementing feedback in creative systems: a workshop approach'. Together they form a unique fingerprint.

Cite this