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CfP: CMN'25: 8th International Workshop on Computational Models of Narrative: Advancing the Science of Narrative, 28 - 30 May 2025, Geneva (Switzerland)

8th International Workshop on Computational Models of Narrative (CMN'25) Ad
vancing the Science of Narrative

---IMPORTANT DATES---
January 15, 2025. Submission deadline.
March 3, 2025. Notification of acceptance.
March 24, 2025.  Final Versions Due.
May 28- May 30, 2025.  Workshop in Geneva, Switzerland.

---WORKSHOP AIMS---

The Computational Models of Narrative (CMN) workshop series is dedicated to
 advancing the computationally-grounded scientific study of narrative, a cr
ucial aspect of human experience used for communication, persuasion, explan
ation, and entertainment. Narrative, or storytelling, is a symbolic activit
y that imitates human actions through emplotment, representing discordant e
vents through concordance. From myths to histories, narratives are ubiquito
us across time, making understanding narrative intelligence essential to co
mprehending human intelligence. Narrative studies, aka narratology, has its
 root in Aristotle's Poetics, thriving in the wake of the French New Rhetor
ic, where Todorov first coined ``narratology'' in
1969 to theorize narrative grammar based on structuralist linguistics. 

Despite criticism for its formalism and reduction, this characteristic enab
les the intersection of computer science and poetics, providing various str
uctures for computational modeling.

Computer scientists have long tapped into the three-act structure, Freitag'
s pyramid, Propp's morphology, and Campbell's or Vogler's hero's journey. L
arge Language Models (LLMs) boast their breakthrough in generating narrativ
es, betraying traces of the structures mentioned above. 

Systems for narrative analysis and production are increasingly embedded in 
devices and processes, influencing decision-making in venues as diverse as 
politics, economics, intelligence, and cultural production. In order to app
reciate this influence, it is becoming increasingly clear that research mus
t address the technical implementation of narrative systems, the theoretica
l bases of these frameworks, and our general understanding of narrative at 
multiple levels, from the philosophical and cognitive impact of narratives 
to our ability to model narrative responses computationally.

We invite and encourage submissions either as full papers or position paper
s, through the workshop's website:
     https://tecfa.unige.ch/cmn25/

Full papers should contain original research and be between 8 and 16 pages;
 position papers can report on work-in-progress, research plans or projects
 and have to fit within eight pages. Accepted papers will be published in o
pen access (Gold Road), free of charge.

---ILLUSTRATIVE TOPICS AND QUESTIONS---

- What are appropriate formal or computational representations for narrativ
e?

- How is narrative knowledge captured and represented?

- 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?

- What comprises the set of possible narrative arcs? Is there such a set?

- How do conceptions and models of spatiality or temporality influence narr
ative and cognitive systems?

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

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

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

- 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 cognit
ive abilities?

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

- What are the details of the relationship between narrative and common sen
se?

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

- What shared resources are required for the computational study of narrati
ve? What should a ``Story Bank'' contain?

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

- What shared resources and tools are available, or how can already-existen
t resources be adapted to the study of narrative?


---ORGANIZING COMMITTEE---

- Fanfan Chen (National Taipei University of Business, Taiwan)
- Antonio Lieto (University of Salerno, Italy)
- Rmi Ronfard (Inria, LJK, University of Grenoble, France)
- Nicolas Szilas (University of Geneva, Switzerland)
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