Download or read book Computational Modeling of Narrative written by Inderjeet Mani and published by Morgan & Claypool Publishers. This book was released on 2013 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of narrative (or story) understanding and generation is one of the oldest in natural language processing (NLP) and artificial intelligence (AI), which is hardly surprising, since storytelling is such a fundamental and familiar intellectual and social activity. In recent years, the demands of interactive entertainment and interest in the creation of engaging narratives with life-like characters have provided a fresh impetus to this field. This book provides an overview of the principal problems, approaches, and challenges faced today in modeling the narrative structure of stories. The book introduces classical narratological concepts from literary theory and their mapping to computational approaches. It demonstrates how research in AI and NLP has modeled character goals, causality, and time using formalisms from planning, case-based reasoning, and temporal reasoning, and discusses fundamental limitations in such approaches. It proposes new representations for embedded narratives and fictional entities, for assessing the pace of a narrative, and offers an empirical theory of audience response. These notions are incorporated into an annotation scheme called NarrativeML. The book identifies key issues that need to be addressed, including annotation methods for long literary narratives, the representation of modality and habituality, and characterizing the goals of narrators. It also suggests a future characterized by advanced text mining of narrative structure from large-scale corpora and the development of a variety of useful authoring aids. This is the first book to provide a systematic foundation that integrates together narratology, AI, and computational linguistics. It can serve as a narratology primer for computer scientists and an elucidation of computational narratology for literary theorists. It is written in a highly accessible manner and is intended for use by a broad scientific audience that includes linguists (computational and formal semanticists), AI researchers, cognitive scientists, computer scientists, game developers, and narrative theorists.

Download or read book Computational Modeling of Narrative written by Inderjeet Mani and published by Springer Nature. This book was released on 2022-05-31 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of narrative (or story) understanding and generation is one of the oldest in natural language processing (NLP) and artificial intelligence (AI), which is hardly surprising, since storytelling is such a fundamental and familiar intellectual and social activity. In recent years, the demands of interactive entertainment and interest in the creation of engaging narratives with life-like characters have provided a fresh impetus to this field. This book provides an overview of the principal problems, approaches, and challenges faced today in modeling the narrative structure of stories. The book introduces classical narratological concepts from literary theory and their mapping to computational approaches. It demonstrates how research in AI and NLP has modeled character goals, causality, and time using formalisms from planning, case-based reasoning, and temporal reasoning, and discusses fundamental limitations in such approaches. It proposes new representations for embedded narratives and fictional entities, for assessing the pace of a narrative, and offers an empirical theory of audience response. These notions are incorporated into an annotation scheme called NarrativeML. The book identifies key issues that need to be addressed, including annotation methods for long literary narratives, the representation of modality and habituality, and characterizing the goals of narrators. It also suggests a future characterized by advanced text mining of narrative structure from large-scale corpora and the development of a variety of useful authoring aids. This is the first book to provide a systematic foundation that integrates together narratology, AI, and computational linguistics. It can serve as a narratology primer for computer scientists and an elucidation of computational narratology for literary theorists. It is written in a highly accessible manner and is intended for use by a broad scientific audience that includes linguists (computational and formal semanticists), AI researchers, cognitive scientists, computer scientists, game developers, and narrative theorists. Table of Contents: List of Figures / List of Tables / Narratological Background / Characters as Intentional Agents / Time / Plot / Summary and Future Directions

Download or read book Narrative Intelligence written by Michael Mateas and published by John Benjamins Publishing. This book was released on 2003-02-27 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Narrative Intelligence (NI) — the confluence of narrative, Artificial Intelligence, and media studies — studies, models, and supports the human use of narrative to understand the world. This volume brings together established work and founding documents in Narrative Intelligence to form a common reference point for NI researchers, providing perspectives from computational linguistics, agent research, psychology, ethology, art, and media theory. It describes artificial agents with narratively structured behavior, agents that take part in stories and tours, systems that automatically generate stories, dramas, and documentaries, and systems that support people telling their own stories. It looks at how people use stories, the features of narrative that play a role in how people understand the world, and how human narrative ability may have evolved. It addresses meta-issues in NI: the history of the field, the stories AI researchers tell about their research, and the effects those stories have on the things they discover. (Series B)

Download or read book Computational Analysis of Storylines written by Tommaso Caselli and published by Cambridge University Press. This book was released on 2021-11-25 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: A review of recent computational (deep learning) approaches to understanding news and nonfiction stories.

Download or read book Storylistening written by Sarah Dillon and published by Routledge. This book was released on 2021-11-16 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Storylistening makes the case for the urgent need to take stories seriously in order to improve public reasoning. Dillon and Craig provide a theory and practice for gathering narrative evidence that will complement and strengthen, not distort, other forms of evidence, including that from science. Focusing on the cognitive and the collective, Dillon and Craig show how stories offer alternative points of view, create and cohere collective identities, function as narrative models, and play a crucial role in anticipation. They explore these four functions in areas of public reasoning where decisions are strongly influenced by contentious knowledge and powerful imaginings: climate change, artificial intelligence, the economy, and nuclear weapons and power. Vivid performative readings of stories from The Ballad of Tam-Lin to The Terminator demonstrate the insights that storylistening can bring and the ways it might be practised. The book provokes a reimagining of what a public humanities might look like, and shows how the structures and practices of public reasoning can evolve to better incorporate narrative evidence. Storylistening aims to create the conditions in which the important task of listening to stories is possible, expected, and becomes endemic. Taking the reader through complex ideas from different disciplines in ways that do not require any prior knowledge, this book is an essential read for policymakers, political scientists, students of literary studies, and anyone interested in the public humanities and the value, importance, and operation of narratives.

Download or read book Phantasmal Media written by D. Fox Harrell and published by MIT Press. This book was released on 2013-11-08 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: An argument that great expressive power of computational media arises from the construction of phantasms—blends of cultural ideas and sensory imagination. In Phantasmal Media, D. Fox Harrell considers the expressive power of computational media. He argues, forcefully and persuasively, that the great expressive potential of computational media comes from the ability to construct and reveal phantasms—blends of cultural ideas and sensory imagination. These ubiquitous and often-unseen phantasms—cognitive phenomena that include sense of self, metaphors, social categories, narrative, and poetic thinking—influence almost all our everyday experiences. Harrell offers an approach for understanding and designing computational systems that have the power to evoke these phantasms, paying special attention to the exposure of oppressive phantasms and the creation of empowering ones. He argues for the importance of cultural content, diverse worldviews, and social values in computing. The expressive power of phantasms is not purely aesthetic, he contends; phantasmal media can express and construct the types of meaning central to the human condition. Harrell discusses, among other topics, the phantasm as an orienting perspective for developers; expressive epistemologies, or data structures based on subjective human worldviews; morphic semiotics (building on the computer scientist Joseph Goguen's theory of algebraic semiotics); cultural phantasms that influence consensus and reveal other perspectives; computing systems based on cultural models; interaction and expression; and the ways that real-world information is mapped onto, and instantiated by, computational data structures. The concept of phantasmal media, Harrell argues, offers new possibilities for using the computer to understand and improve the human condition through the human capacity to imagine.

Download or read book Possible Worlds Artificial Intelligence and Narrative Theory written by Marie-Laure Ryan and published by Indiana University Press. This book was released on 1991 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this important contribution to narrative theory, Marie-Laure Ryan applies insights from artificial intelligence and the theory of possible worlds to the study of narrative and fiction. For Ryan, the theory of possible worlds provides a more nuanced way of discussing the commonplace notion of a fictional "world," while artificial intelligence contributes to narratology and the theory of fiction directly via its researches into the congnitive processes of texts and automatic story generation. Although Ryan applies exotic theories to the study of narrative and to fiction, her book maintains a solid basis in literary theory and makes the formal models developed by AI researchers accessible to the student of literature. By combining the philosophical background of possible world theory with models inspired by AI, the book fulfills a pressing need in narratology for new paradigms and an interdisciplinary perspective.

Download or read book Computational Models of Argument written by S. Parsons and published by IOS Press. This book was released on 2014-09-10 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argumentation, which has long been a topic of study in philosophy, has become a well-established aspect of computing science in the last 20 years. This book presents the proceedings of the fifth conference on Computational Models of Argument (COMMA), held in Pitlochry, Scotland in September 2014. Work on argumentation is broad, but the COMMA community is distinguished by virtue of its focus on the computational and mathematical aspects of the subject. This focus aims to ensure that methods are sound – that they identify arguments that are correct in some sense – and provide an unambiguous specification for implementation; producing programs that reason in the correct way and building systems capable of natural argument or of recognizing argument. The book contains 24 long papers and 18 short papers, and the 21 demonstrations presented at the conference are represented in the proceedings either by an extended abstract or by association with another paper. The book will be of interest to all those whose work involves argumentation as it relates to artificial intelligence.

Download or read book Interactive Storytelling written by Hartmut Koenitz and published by Springer. This book was released on 2013-10-31 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Interactive Storytelling, ICIDS 2013, Istanbul, Turkey, November 2013. The 14 revised full papers presented together with 10 short papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on theory and aesthetics; authoring tools and applications; evaluation and user experience reports; virtual characters and agents; new storytelling modes; workshops.

Download or read book Social Behavioral Modeling for Complex Systems written by Paul K. Davis and published by John Wiley & Sons. This book was released on 2019-03-18 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems

Download or read book Bridging the Gap Between AI Cognitive Science and Narratology With Narrative Generation written by Ogata, Takashi and published by IGI Global. This book was released on 2020-09-25 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of cognitive science in creating stories, languages, visuals, and characters is known as narrative generation, and it has become a trending area of study. Applying artificial intelligence (AI) techniques to story development has caught the attention of professionals and researchers; however, few studies have inherited techniques used in previous literary methods and related research in social sciences. Implementing previous narratology theories to current narrative generation systems is a research area that remains unexplored. Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation is a collection of innovative research on the analysis of current practices in narrative generation systems by combining previous theories in narratology and literature with current methods of AI. The book bridges the gap between AI, cognitive science, and narratology with narrative generation in a broad sense, including other content generation, such as a novels, poems, movies, computer games, and advertisements. The book emphasizes that an important method for bridging the gap is based on designing and implementing computer programs using knowledge and methods of narratology and literary theories. In order to present an organic, systematic, and integrated combination of both the fields to develop a new research area, namely post-narratology, this book has an important place in the creation of a new research area and has an impact on both narrative generation studies, including AI and cognitive science, and narrative studies, including narratology and literary theories. It is ideally designed for academicians, researchers, and students, as well as enterprise practitioners, engineers, and creators of diverse content generation fields such as advertising production, computer game creation, comic and manga writing, and movie production.

Download or read book An Introduction to Narrative Generators written by and published by Oxford University Press. This book was released on 2023-07-15 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known computer programs that illustrate how such concepts are employed, the book is aimed at an interdisciplinary audience and assumes little or no background in computer science. The book introduces the most relevant techniques employed over the last 60 years for the development of computer models for narrative generation, including narrative templates, problem-solving, planning, author engagement and reflection, and statistical methods such as deep neural networks, ending with an examination of the societal implications of the development of automatic narrative generator systems.

Download or read book Computational Models of Reading written by Erik D. Reichle and published by Oxford University Press. This book was released on 2021 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work be both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading"--

Download or read book Interactive Storytelling written by Rogelio E. Cardona-Rivera and published by Springer Nature. This book was released on 2019-11-12 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Interactive Digital Storytelling, ICIDS 2019, held in Little Cottonwood Canyon, UT, USA, in November 2019. The 14 revised full papers and 10 short papers presented together with 19 posters, 1 demo, and 3 doctoral consortiums were carefully reviewed and selected from 66 submissions. The papers are organized in the following topical sections: Creating the Discipline: Interactive Digital Narrative Studies, Impacting Culture and Society, Interactive Digital Narrative Practices and Applications, Theoretical Foundations, Technologies, Human Factors, Doctoral Consortium, and Demonstrations.

Download or read book Interactive Storytelling written by Frank Nack and published by Springer. This book was released on 2016-11-08 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Interactive Digital Storytelling, ICIDS 2016, held in Los Angeles, CA, USA, in November 2016. The 26 revised full papers and 8 short papers presented together with 9 posters, 4 workshop, and 3 demonstration papers were carefully reviewed and selected from 88 submissions. The papers are organized in topical sections on analyses and evaluation systems; brave new ideas; intelligent narrative technologies; theoretical foundations; and usage scenarios and applications.

Download or read book Interactive Storytelling written by Nuno Nunes and published by Springer. This book was released on 2017-11-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Interactive Digital Storytelling, ICIDS 2017, held in Funchal, Madeira, Portugal, in November 2017. The 16 revised full papers and 4 short papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on story design, location and generation, history and learning, games, emotion and personality, posters and demos.

Download or read book The Authoring Problem written by Charlie Hargood and published by Springer Nature. This book was released on 2023-01-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authoring, its tools, processes, and design challenges are key issues for the Interactive Digital Narrative (IDN) research community. The complexity of IDN authoring, often involving stories co-created by procedures and user interaction, creates confusion for tool developers and raises barriers for new authors. This book examines these issues from both the tool designer and the author’s perspective, discusses the poetics of IDN and how that can be used to design authoring tools, explores diverse forms of IDN and their demands, and investigates the challenges around conducting research on IDN authoring. To address these challenges, the chapter authors incorporate a range of interdisciplinary perspectives on ‘The Authoring Problem’ in IDN. While existing texts provide ‘how-to’ guidance for authors, this book is a primer for research and practice-based investigations into the authoring problem, collecting the latest thoughts about this area from key researchers and practitioners.