[Comp-neuro] 1st CfP: CMN'16, Seventh International Workshop on Computational Models of Narrative (7 March 2016 / 11-13 July 2016)

Ben Miller bjmiller at mit.edu
Wed Oct 14 21:11:41 CEST 2015



Seventh International Workshop on Computational Models of Narrative (CMN'16)

Advancing the Science of Narrative

Special Focus: Computational Narrative and the Humanities

a satellite workshop of:

Digital Humanities 2016 (DH2016)

11-13 July 2016

Kraków, Poland



7 March 2016.  Submission deadline.

11 April 2016.  Notification of acceptance.

16 May 2016.  Final Camera Ready Versions Due.

11-13 July 2016.  CMN’16.

11-16 July 2016.  DH2016.


The workshop series, Computational Models of Narrative (CMN) is 
dedicated to advancing the computationally-grounded scientific study of 
narrative.  Now in its seventh iteration, the workshop has a tradition 
of crossing academic borders and bringing together researchers from 
different disciplines on a common object of study.  Narrative provides a 
model for organizing and communicating experience, knowledge, and 
culture.  Investigations of narrative operations in textual, aural, and 
visual media have been systematically pursued in the humanities since 
before the early structural linguistics and folklorist inspired work of 
the Russian Formalists, and in the computing sciences since before the 
early cognitive science inspired work on scripts and frames.  Research 
continues on computational approaches across the humanities and 
sciences.  In order to appreciate the various domains and approaches 
connected to the computationally enabled study of narratives and 
narrative theory, it is becoming increasingly clear that research in 
this area requires engagement from many communities of interest. 
  Peer-reviewed full proceedings from CMN’13, ‘14, and ‘15 are each 
available in the OpenAccess Series in Informatics (OASIcs) published by 
Schloss Dagstuhl; peer-reviewed proceedings from CMN’11 and CMN’12 were 
published by AAAI and LREC, respectively.


This inter-disciplinary workshop will be an appropriate venue for papers 
addressing fundamental topics and questions regarding narrative.  Papers 
should be relevant to the computational modeling, and scientific or 
humanistic understanding of narrative. The workshop will have a special 
focus on how the computational modeling, analysis, or generation of 
narrative has affected approaches in the humanities for studying and 
generating narrative in or across textual, aural, or visual media. 
  Possible themes could connect to the representation of narrative, 
connections between cognition and narrative or knowledge representation 
and narrative, the use of heuristics to handle complexity, incorporation 
of insights about human thinking, the use of narrative to organize 
information in the humanities, the relationship between top-down and 
bottom-up approaches for narrative understanding, or how narrative is 
seen to function differently depending upon the medium.  Regardless of 
its topic, reported work should provide insight of use to the scientific 
understanding or computational modeling of narratives. Discussing 
technological applications or motivations is not prohibited, but is not 
required. We accept both finished research and more tentative 
exploratory work.

We invite and encourage submissions either as full papers or position 
papers, through the workshop's EasyChair 

We also invite you to submit an abstract soon so that we can gauge the 
number of submissions we can expect. (Submitting an abstract is possible 
without submitting the full paper at the same time.)  Full papers should 
contain original research and have to fit within 16 pages; position 
papers can report on work-in-progress, research plans or projects and 
have to fit within four pages plus one page of references.

Illustrative Topics and Questions

- How can computational narratives be studied from a humanities point of 

- Are generative models of narrative texts, movies or video games 
possible, desirable, and useful?

- 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?

- How are narratives affected by the media used to convey them?

- What aspects of cross-linguistic work has narrative research neglected?

- What opportunities are there for narrative analysis across languages?

- What makes narrative different from a list of events or facts?

- How do conceptions and models of spatiality or temporality influence 
narrative and narrative theory?

- What are the details of the relationship between narrative and 
language, image, or sound?

- How is narrative knowledge captured and represented?

- How are narratives indexed and retrieved? Is there a universal scheme 
for encoding episodic information?

- 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 

- How should we evaluate computational and formal models of narrative?

- 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?

- How can narrative systems be applied to problem-solving?

- How far are we from a theory of narrative adaptation across media?


- Antonio Lieto (University of Turin, Italy)

- Ben Miller (Georgia State University, USA)

- Rémi Ronfard (Inria, LJK, University of Grenoble, France)

- Stephen Ware (University of New Orleans, USA)

- Mark A. Finlayson (Florida International University, USA)


David Elson, Columbia University & Google

Floris Bex, Utrecht University

Rossana Damiano, University of Turin

Kerstin Dautenhahn, University of Hertfordshire

Pablo Gervás, Complutense University of Madrid

Andrew Gordon, ICT

Livia Polanyi, LDM Associates

Marie-Laure Ryan, University of Colorado Boulder

Tim Tangherlini, UCLA

Mariet Theune, University of Twente

Atif Waraich, Manchester Metropolitan University

Mehul Bhatt, University of Bremen

Emmett Tomai, University of Texas-Pan American

Neil Cohn, UCSD

Inderjeet Mani, Yahoo Labs

Loizos Michael, Open University of Cyprus

Chris Meister, Hamburg University

Fritz Breithaupt, Indiana University

Benedikt Löwe, Universität Hamburg

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