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References in periodicals archive ?
Initial results from work in this area are encouraging and point to a promising area for future intelligent narrative technologies research.
Riedl's keynote, Computational Narrative Intelligence: Past, Present, and Future, began with a historical account of intelligent narrative technologies since the 1980s, then focused on the challenges faced by the community in the last decade, and ended by summarizing a complete picture of the most relevant lines of research and their results.
The program included four workshops (one of which was a joint workshop): (1) Artificial Intelligence in Adversarial Real-Time Games, organized by Michael Buro and Santiago Ontanon; (2) Experimental AI in Games, organized by Alex Zook, Mike Cook, and Antonios Liapis; (3) a joint workshop--Intelligent Narrative Technologies and Social Believability in Games, organized by Camille Barot, Boyang "Albert" Li, Jonathan Rowe, Emmett Tomai (all organizing Intelligent Narrative Technologies), and Harko Verhagen, Mirjam Palosaari Eladhari, Josh McCoy, and Magnus Johansson (organizing Social Believability in Games)l (4) Player Modeling, organized by Noor Shaker, Georgios Yannakakis, and Pieter Spronck.
The goal of the Intelligent Narrative Technologies workshop was to bring together a diverse community of computer scientists, narratologists, psychologists, artists, and game industry practitioners to discuss the generation, analysis, and understanding of interactive and noninteractive stories.
The Workshop on Intelligent Narrative Technologies aimed to advance research in artificial intelligence for the computational understanding and expression of narrative.
The Workshop on Intelligent Narrative Technologies also explored challenges of knowledge engineering in narrative through a panel on encoding the story of the Iliad in the PDDL planning domain language.
Intelligent narrative technologies model human story telling and comprehension processes, including methods for generating interactive narrative experiences that develop and adapt in real time.
Identifying how integrated AI systems that combine techniques from intelligent tutoring systems and intelligent narrative technologies can best be utilized to enhance robust, lifelong learning is a critical challenge for the field.
Intelligent narrative technologies enable computational systems to communicate with human users in compelling and intuitive ways by utilizing peoples' inherent capacity for understanding stories.
The AIIDE workshop on Intelligent Narrative Technologies was the latest in a series of events designed to bring together AI researchers, narratologists, psychologists, artists, and industry practitioners to create a forum for discussing narrative intelligence in an interdisciplinary setting.
The titles of the nine symposia were Agents That Learn from Human Teachers, Benchmarking of Qualitative Spatial and Temporal Reasoning Systems, Experimental Design for Real-World Systems, Human Behavior Modeling, Intelligent Event Processing, Intelligent Narrative Technologies II, Learning by Reading and Learning to Read, Social Semantic Web: Where Web 2.0 Meets Web 3.0, and Technosocial Predictive Analytics.
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