Computational Creativity

AIEDAM Special Issue, Fall 2013, Vol.27, No.4

Edited by: Dan Ventura & Mary Lou Maher

This special issue of AIEDAM will be devoted to papers concerned with Computational Creativity.

Computational Creativity is a newly emerging subfield of AI (among others) that is defined as the study and simulation, by computational means, of behavior, natural and artificial, which would, if observed in humans, be deemed creative. As systems and methodologies become more mature, it becomes increasingly important that we have some rigorous and common practice for evaluating their performance and claims made based on their results or behaviors.

The study of computational creativity provides many opportunities for interdisciplary research between Engineering, Cognitive Science and Computer Science. This special issue aims to capture a snapshot of some of the best work in this intersection of areas. For this issue, we will broaden the scope to also include papers that discuss creativity in domains other than engineering and design, including mathematics, scientific discovery, linguistics and the arts. We are interested in papers whose focus is the combination of creativity and computation in a significant way, and in particular, we are interested in papers that in some significant way address the issue of evaluation.

Suitable topics include (but are not limited to) the following:

  • Computational models, techniques, or systems that evaluate their own creativity (e.g., creative design);
  • Computational models, techniques or systems that modify their (self-)evaluation technique/rubric over time;
  • Computational techniques, systems or environments for evaluating computational or human creativity;
  • Theoretical foundations for the measurement/evaluation of computational creativity;
  • Description and evaluation of new computational models, techniques or systems that exhibit creative behavior;
  • Description and evaluation of new computational systems that augment or enhance human creativity;
  • Description and evaluation of new computational models that enable or simulate large-scale social creativity

All submissions will be anonymously reviewed by at least three reviewers. The selection for publication will be made on the basis of these reviews.

Information about the format and style required for AIEDAM papers can be found at http://aiedam.usc.edu/index.php/Authors/ForAuthors.

However, note that all submissions for special issues go to the Guest Editors, and not to the Editor in Chief.

Important dates:
Intend to submit (Abstract & Title):As soon as possible
Submission deadline for full papers:15 Sept 2012
Reviews due:15 Nov 2012
Notification and reviews to authors:15 Dec 2012
Revised version submission deadline:1 April 2013
Issue to publisher:1 May 2013
Guest editors:

Please direct all enquiries and submissions to the guest editors:

Dan Ventura
MIND Lab
Computer Science Department
Brigham Young University University
Provo, UT 84602
USA
Email: ventura [at] cs.byu.edu

Mary Lou Maher
Department of Software and Information Systems
The University of North Carolina at Charlotte
9201 University City Blvd.
Charlotte, NC 28223
USA
Email: m.maher [at] uncc.edu