Narrative provides a framing structure for understanding, communicating, influencing, and organizing human experience. Systems for its analysis and production are increasingly found embedded in devices and processes, influencing decision-making in venues as diverse as politics, economics, intelligence,
and cultural production.
In order to appreciate this influence, it is becoming increasingly clear that research must address the technical implementation of narrative systems, the theoretical bases of these frameworks,
and our general understanding of narrative at multiple levels: from the psychological and cognitive impact of narratives to our ability to model narrative responses computationally.
This inter-disciplinary workshop will be an appropriate venue for papers addressing fundamental topics and questions regarding narrative. Papers should be relevant to issues fundamental to the computational modeling and scientific understanding of narrative. The workshop will have a special focus on the building cognitive systems that are distinguished by a focus on high-level cognition and decision making, reliance on rich, structured representations, a systems-level perspective, use of heuristics to handle complexity, and incorporation of insights about human thinking, meaning we especially welcome papers relevant to the cognitive aspects of narrative.
How is narrative knowledge captured and represented?
How are narratives indexed and retrieved? Is there a universal scheme for encoding episodic information?
How can we study narrative from a cognitive point of view?
Can narrative be subsumed by current models of higher-level cognition, or does it require new approaches?
How do narratives mediate our cognitive experiences, or affect our cognitive abilities?
What comprises the set of possible narrative arcs? Is there such a set? How many possible story lines are there?
Is narrative structure universal, or are there systematic differences in narratives from different cultures?
What makes narrative different from a list of events or facts?
How do conceptions and models of spatiality or temporality influence narrative and cognitive systems?
What are the details of the relationship between narrative and common sense?
What shared resources are required for the computational study of narrative? What should a Story Bank contain?
What shared resources and tools are available, or how can already-extant resources be adapted to the study of narrative?
What are appropriate formal or computational representations for narrative?
How should we evaluate computational and formal models of narrative?
How can narrative systems be applied to problem-solving?
What aspects of cross-linguistic work has narrative research neglected?
February 2, 2015 February 20, 2015 |
(EXTENDED) Submission deadline |
March 6, 2015 March 30, 2015 |
Notification of Acceptance |
30 March 2015 April 19, 2015 |
Final version due |
May 26 - 28, 2015 |
CMN Workshop in Atlanta, Georgia |
May 29-31, 2015 |
Advances in Cognitive Systems Conference (ACS 2015) |
Long Papers (up to 16 pages, plus up to 2 pages of references)
Short Papers (up to 8 pages, plus up to 2 pages of references)
Position Papers (up to 4 pages, plus up to 1 page of references)
CMN 2015 papers may be submitted in either of two formats:
LaTeX Papers should be prepared using the standard
OASIcs template, using A4 paper.
All final papers (i.e., post-review papers) must be submitted in this format.
Important: Papers may be submitted in
MS Word format only for review. If the paper is accepted, the authors will be reponsible for transferring their
content to the LaTeX format.
Papers submitted for review not in either of these two formats will be returned. Final papers not submitted in LaTeX format will also be returned.
Papers should be submitted to the CMN workshop Easychair website:
https://www.easychair.org/conferences/?conf=cmn15 (Note: Submissions are now closed)
http://cmn15.ezregister.com/ (Note: registration is now closed)
Janet H. Murray, Georgia Institute of Technology, USA
Mark A. Finlayson, (Florida International University, USA)
Antonio Lieto, (University of Torino and ICAR CNR, Italy)
Ben Miller (Georgia State University, USA)
Remi Ronfard (Inria, LJK, University of Grenoble, France)
Floris Bex, University of Groningen, The Netherlands
Fritz Breithaupt, Indiana University, USA
Mehul Bhatt, University of Bremen, Germany
Neil Cohn, University of California, USA
Rossana Damiano, University of Torino, Italy
Kerstin Dautenhahn, University of Hertfordshire, United Kingdom
David K. Elson, Google, USA
Pablo Gervás, Universidad Complutense de Madrid, Spain
Richard Gerrig, SUNY Stony Brook, USA
Andrew Gordon, University of Southern California, Institute for Creative Technologies, USA
Ken Kishida, Virginia Tech, USA
Benedikt Löwe, University of Hamburg, Germany and University of Amsterdam, The Netherlands
Chris Meister, University of Hamburg, Germany
Erik T. Mueller, IBM, USA
Livia Polanyi, Stanford University, USA
Marie-Laure Ryan, USA
Moshe Shoshan, Bar-Ilan University, Israel
Timothy Tangherlini, University of California at Los Angeles, USA
Mariët Theune, University of Twente, The Netherlands
Atif Waraich, Manchester Metropolitan University, United Kingdom
Patrick Henry Winston, Massachusetts Institute of Technology, USA
Mark A. Finlayson
Last update by Mark Finlayson, 2016-10-26
