CSxxxx Computational Narrative Seminar: Fall 2017 – AI Models of Belief, Desire and Intention in Narrative: The Battle of Scarif

The Computational Narrative Seminar course meets weekly to discuss foundational and/or recent and important results in the area of computational narrative research. For a typical meeting, attendees will read and discuss one paper chosen from

  • foundational “classic” papers
  • recent computational narrative-focused journal issue,conference or workshop
  • relevant papers on narrative structure

Papers are selected for discussion according to the semester’s focus topic, the papers’ relevance to participants’ own research, and/or the papers’ relevance to upcoming Utah visitors. Some meetings may be centered on presentations of a participant’s own research: e.g., a practice talk for an upcoming conference. Each meeting has one or more designated “facilitators” who are responsible for leading the discussion.

The course is taught by Corrinne Lewis and R. Michael Young.

Corrinne’s email: corrinne.lewis@eae.utah.edu
Office: 2xx EAE Building (Building 72)
Office Hours for Fall 2017: XDays, 12:34 -56:78 or by appointment.

Michael’s email: young@cs.utah.edu
Office: 2xx EAE Building (Building 72)
Office Hours for Fall 2017: XDays, 12:34 -56:78 or by appointment.

TA: There is sniff no TA for this class.

Course time and location: During the Fall 2017 semester, the course is taught every XDAY from 3:05 to 3:55 in The EAE Building (Building 72) Room XXX.

The primary course web site will be available to enrolled students through Canvas, and will contain the official syllabus, schedule, and other information.

Canvas URL: https://utah.instructure.com/courses/xxxx


Approximate and Tentative Syllabus for CS xxxx — Computational Narrative Seminar, Fall 2017

This is a draft syllabus for the course for Fall 2017. The official syllabus will be available for enrolled students via Canvas.

Objectives: To increase participants’ familiarity with important research results in computational narrative; to improve participants’ skills in presenting computational narrative research; to provide a focused connection between existing narrative artifacts and analytic and/or generative models of narrative.

Prerequisites: An undergraduate computer science background is helpful for this course, but not required. The readings are often formal and at their core, computational, despite their focus on narrative. As a result, students that aren’t prepared for formal discussions to be a part of their vocabularly will have a harder time with the material.


Schedule and Readings

Week Lecture Concepts Paper Title
Number Number    
08/21 1 course intro, review of film  
08/28 2   Cohen and Levesque
09/04 3   Cohen and Levesque
09/11 4   NARRATIVE?
09/18 5   Teutenberg and Porteous
09/25 6   Teutenberg and Porteous
10/02 7   Thorne and Young
10/09 8   Young
10/16 9   van whatever
10/23 10    
10/30 11    
11/06 12    
11/13 13    
11/20 14    
11/27 15    
12/04 16    

Grading Policy

Credit: A student may enroll in the seminar for either one or two credit hours.

Grading: Grading is based on participation. “Participation” is not merely presence; it means engaging with the course in ways that demonstrate sincere effort to master the course material. The primary course activities are:

reading the selected papers, writing short summaries of the papers, participating in discussions during seminar meetings, and facilitating seminar meetings. On every week that the seminar is held, every student taking the course for credit must read all of the papers for that week, submit a short summary of each paper prior to class, and participate in the discussion. In addition, every enrolled student must facilitate at least one seminar meeting during the semester.

Paper summaries should be submitted to the instructor, prior to class, via the seminar’s Canvas web site. Late paper summaries are not generally accepted. Late paper summaries may be accepted in exceptional circumstances only, at the sole discretion of the instructor.


Cheating Policy

Cheating: In this course, “cheating” refers to plagiarism in the written summaries that students submit to the instructor. Cheating in this course is not tolerated. The penalty for cheating in this course is a failing grade for the course.

A summary must consist of a student’s sole, original work. Unattributed copying of material from the papers being discussed or other sources is plagiarism as will be treated as such. Unacceptable paraphrasing of papers or other sources is also plagiarism and will be treated as such. Students are encouraged to discuss the seminar’s readings with each other—discussing the papers is a primary activity of this course! However, any written summary that a student submits to the instructor must be the original work of that student alone. Jointly authored summaries are not allowed.

All questions about the definitions of cheating and plagiarism in this course should be directed to the instructor. (The web has many resources that can help you to understand and avoid plagiarism, but if you have questions, please contact the instructor.)

Statement and Acknowledgment: In accordance with the School of Computing’s Policy Statement on Academic Misconduct dated January 10, 2012, the instructor will discuss the School’s academic misconduct policy in the first two weeks of the course. Students will be required to understand the policy and to submit an acknowledgment form. Links to the policy statement and acknowledgment form are found below.

School of Computing Policy Statement on Academic Misconduct School of Computing Academic Misconduct Policy Acknowledgment Form College of Engineering Guidelines


For information about adding courses, withdrawing from courses, appealing grades, and more, please refer to the web site maintained by the College of Engineering’s Office of Academic Affairs.

College of Engineering’s Office of Academic Affairs Americans with Disabilities Act (ADA)

The University of Utah seeks to provide equal access to its programs, services and activities for people with disabilities. If you will need accommodations in the class, reasonable prior notice needs to be given to the Center for Disability Services, 162 Olpin Union Building, 581–5020 (V/TDD). CDS will work with you and the instructor to make arrangements for accommodations. All written information in this course can be made available in alternative format with prior notification to the Center for Disability Services.