Toward a Co-creative Narrative Generation System

Creativity is a challenging topic for artificial intelligence (AI) from the perspectives of both science and engineering. For engineering purposes, the manner in which creative AI systems provide values to humans and societies is a major concern that should be examined for the future development of AI technologies. The broader purpose of this study is to present a new direction of designing creative AI systems that consider their relationship with humans. We thus propose the basic design and concepts of a co-creative narrative generation system that produces diverse narratives through continual narrative generating chain reactions involving many agents. These agents include narrative generation programs and human narrative creators. The characteristics and significance of this design are discussed from several perspectives: 1) the relationship between generative programs and humans, 2) the design direction of narrative creativity, 3) the architectural aspect of a co-creative system for integrating many generative agents, and 4) knowledge construction in the narrative co-creation cycle.

[1]  Rafael Pérez y Pérez,et al.  A Model for Evaluating Interestingness in a Computer-Generated Plot , 2013, ICCC.

[2]  Akinori Abe.  The Possibility of the Literary Work Generation by Computer , 2016 .

[3]  Pablo Gervás,et al.  Mixed Narrative and Dialog Content Planning Based on BDI Agents , 2007, CAEPIA.

[4]  Takashi Ogata,et al.  Designing a Socially Open Narrative Generation System , 2016 .

[5]  Rafael Pérez y Pérez,et al.  Slant: A Blackboard System to Generate Plot, Figuration, and Narrative Discourse Aspects of Stories , 2013, ICCC.

[6]  C. León.  An architecture of narrative memory , 2016, BICA 2016.

[7]  Rafael Pérez y Pérez,et al.  MEXICA: A computer model of a cognitive account of creative writing , 2001, J. Exp. Theor. Artif. Intell..

[8]  Gary Marchionini,et al.  Exploratory search , 2006, Commun. ACM.

[9]  Takashi Ogata,et al.  Computational and Cognitive Approaches to Narratology from the Perspective of Narrative Generation , 2016 .

[10]  Stephen John Turner,et al.  The Creative Process: A Computer Model of Storytelling and Creativity , 1994 .

[11]  Mirella Lapata,et al.  Learning to Tell Tales: A Data-driven Approach to Story Generation , 2009, ACL.

[12]  Pablo Gervás,et al.  Computational Approaches to Storytelling and Creativity , 2009, AI Mag..

[13]  Takashi Ogata,et al.  A Visual Interface for a Collection of Computer-Generated Narratives , 2015 .

[14]  Nathanael Chambers,et al.  A Database of Narrative Schemas , 2010, LREC.

[15]  Ehud Reiter,et al.  Book Reviews: Building Natural Language Generation Systems , 2000, CL.

[16]  Margaret A. Boden,et al.  Computer Models of Creativity , 2009, AI Mag..

[17]  Raquel Hervás,et al.  Story plot generation based on CBR , 2004, Knowl. Based Syst..

[18]  Nick Montfort,et al.  Curveship: An Interactive Fiction System for Interactive Narrating , 2009 .

[19]  Selmer Bringsjord,et al.  Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, A Storytelling Machine , 1999 .

[20]  Robert Michael Young,et al.  Suspenser: A Story Generation System for Suspense , 2015, IEEE Transactions on Computational Intelligence and AI in Games.

[21]  R. Schank,et al.  Tell Me a Story: Narrative and Intelligence , 1991 .

[22]  Vadim Bulitko,et al.  Interactive Narrative: An Intelligent Systems Approach , 2012, AI Mag..

[23]  Hajime Murai,et al.  Plot Analysis for Describing Punch Line Functions in Shinichi Hoshi's Microfiction , 2014, CMN.

[24]  Reid Swanson,et al.  Say Anything: Using Textual Case-Based Reasoning to Enable Open-Domain Interactive Storytelling , 2012, TIIS.