Computational Modeling Of Narrative

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Computational Modeling of Narrative

Author : Inderjeet Mani
Publisher : Morgan & Claypool Publishers
Page : 145 pages
File Size : 40,5 Mb
Release : 2013
Category : Computers
ISBN : 9781608459810

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Computational Modeling of Narrative by Inderjeet Mani Pdf

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.

Computational Modeling of Narrative

Author : Inderjeet Mani
Publisher : Springer Nature
Page : 124 pages
File Size : 41,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031021473

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Computational Modeling of Narrative by Inderjeet Mani Pdf

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

Understanding Narratives for National Security

Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences
Publisher : National Academies Press
Page : 73 pages
File Size : 44,6 Mb
Release : 2018-08-03
Category : Political Science
ISBN : 9780309476393

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Understanding Narratives for National Security by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences Pdf

Beginning in October 2017, the National Academies of Sciences, Engineering, and Medicine organized a set of workshops designed to gather information for the Decadal Survey of Social and Behavioral Sciences for Applications to National Security. The sixth workshop focused on understanding narratives for national security purposes, and this publication summarizes the presentations and discussions from this workshop.

Computational Models of Narrative

Author : Association for the Advancement of Artificial Intelligence
Publisher : Unknown
Page : 90 pages
File Size : 54,9 Mb
Release : 2010-11-13
Category : Digital storytelling
ISBN : 1577354869

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Computational Models of Narrative by Association for the Advancement of Artificial Intelligence Pdf

Content Generation Through Narrative Communication and Simulation

Author : Ogata, Takashi,Asakawa, Shin
Publisher : IGI Global
Page : 463 pages
File Size : 51,5 Mb
Release : 2018-03-09
Category : Business & Economics
ISBN : 9781522547761

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Content Generation Through Narrative Communication and Simulation by Ogata, Takashi,Asakawa, Shin Pdf

From literature and film to advertisements, storytelling is an important aspect of daily life. To create an impactful story, it is important to analyze the creation and generation of a storyline. Content Generation Through Narrative Communication and Simulation is a critical research publication that explores story and the application of story in various forms of media as well as the challenges of automated story. Featuring coverage on a wide range of topics such as narrative or story generation systems, the film and movie narrative generation, and narrative evaluation, this book is geared toward researchers, students, and professionals seeking current and relevant research on the influence and creation of story in media.

Narrative Intelligence

Author : Michael Mateas,Phoebe Sengers
Publisher : John Benjamins Publishing
Page : 350 pages
File Size : 49,7 Mb
Release : 2003-02-27
Category : Psychology
ISBN : 9789027297068

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Narrative Intelligence by Michael Mateas,Phoebe Sengers Pdf

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)

From Narratology to Computational Story Composition and Back

Author : L. Berov
Publisher : IOS Press
Page : 362 pages
File Size : 45,8 Mb
Release : 2023-03-10
Category : Computers
ISBN : 9781643683836

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From Narratology to Computational Story Composition and Back by L. Berov Pdf

Although both deal with narratives, the two disciplines of Narrative Theory (NT) and Computational Story Composition (CSC) rarely exchange insights and ideas or engage in collaborative research. The former has its roots in the humanities, and attempts to analyze literary texts to derive an understanding of the concept of narrative. The latter is in the domain of Artificial Intelligence, and investigates the autonomous composition of fictional narratives in a way that could be deemed creative. The two disciplines employ different research methodologies at contradistinct levels of abstraction, making simultaneous research difficult, while a close exchange between the two disciplines would undoubtedly be desirable, not least because of the complementary approach to their object of study. This book, From Narratology to Computational Story Composition and Back, describes an exploratory study in generative modeling, a research methodology proposed to address the methodological differences between the two disciplines and allow for simultaneous NT and CSC research. It demonstrates how implementing narratological theories as computational, generative models can lead to insights for NT, and how grounding computational representations of narrative in NT can help CSC systems to take over creative responsibilities. It is the interplay of these two strands that underscores the feasibility and utility of generative modeling. The book is divided into 6 chapters: an introduction, followed by chapters on plot, fictional characters, plot quality estimation, and computational creativity, wrapped up by a conclusion. The book will be of interest to all those working in the fields of narrative theory and computational creativity.

Computational Analysis of Storylines

Author : Tommaso Caselli,Eduard Hovy,Martha Palmer,Piek Vossen
Publisher : Cambridge University Press
Page : 275 pages
File Size : 47,6 Mb
Release : 2021-11-25
Category : Computers
ISBN : 9781108490573

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Computational Analysis of Storylines by Tommaso Caselli,Eduard Hovy,Martha Palmer,Piek Vossen Pdf

A review of recent computational (deep learning) approaches to understanding news and nonfiction stories.

Computational and Cognitive Approaches to Narratology

Author : Ogata, Takashi,Akimoto, Taisuke
Publisher : IGI Global
Page : 467 pages
File Size : 40,7 Mb
Release : 2016-07-15
Category : Language Arts & Disciplines
ISBN : 9781522504337

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Computational and Cognitive Approaches to Narratology by Ogata, Takashi,Akimoto, Taisuke Pdf

Studying narratives is often the best way to gain a good understanding of how various aspects of human information are organized and integrated—the narrator employs specific informational methods to build the whole structure of a narrative through combining temporally constructed events in light of an array of relationships to the narratee and these methods reveal the interaction of the rational and the sensitive aspects of human information. Computational and Cognitive Approaches to Narratology discusses issues of narrative-related information and communication technologies, cognitive mechanism and analyses, and theoretical perspectives on narratives and the story generation process. Focusing on emerging research as well as applications in a variety of fields including marketing, philosophy, psychology, art, and literature, this timely publication is an essential reference source for researchers, professionals, and graduate students in various information technology, cognitive studies, design, and creative fields.

Post-Narratology Through Computational and Cognitive Approaches

Author : Ogata, Takashi,Akimoto, Taisuke
Publisher : IGI Global
Page : 521 pages
File Size : 44,8 Mb
Release : 2019-02-01
Category : Language Arts & Disciplines
ISBN : 9781522579809

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Post-Narratology Through Computational and Cognitive Approaches by Ogata, Takashi,Akimoto, Taisuke Pdf

Studying narratives is an ideal method to gain a good understanding of how various aspects of human information are organized and integrated. The concept and methods of a narrative, which have been explored in narratology and literary theories, are likely to be connected with contemporary information studies in the future, including those in computational fields such as AI, and in cognitive science. This will result in the emergence of a significant conceptual and methodological foundation for various technologies of novel contents, media, human interface, etc. Post-Narratology Through Computational and Cognitive Approaches explores the new possibilities and directions of narrative-related technologies and theories and their implications on the innovative design, development, and creation of future media and contents (such as automatic narrative or story generation systems) through interdisciplinary approaches to narratology that are dependent on computational and cognitive studies. While highlighting topics including artificial intelligence, narrative analysis, and rhetoric generation, this book is ideally designed for designers, creators, developers, researchers, and advanced-level students.

Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling

Author : Marieka Brouwer Burg,Hans Peeters,William A. Lovis
Publisher : Springer
Page : 175 pages
File Size : 46,8 Mb
Release : 2016-05-18
Category : Social Science
ISBN : 9783319278339

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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling by Marieka Brouwer Burg,Hans Peeters,William A. Lovis Pdf

This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced to the modeling process is critical, as are strategies for minimizing, reconciling, or accommodating such uncertainty. Included chapters provide unique perspectives on uncertainty in archaeological modeling, ranging in both theoretical and methodological orientation. The strengths and weaknesses of various identification and mitigation techniques are discussed, in particular sensitivity analysis. The chapters demonstrate that for archaeological modeling purposes, there is no quick fix for uncertainty; indeed, each archaeological model requires intensive consideration of uncertainty and specific applications for calibration and validation. As very few such techniques have been problematized in a systematic manner or published in the archaeological literature, this volume aims to provide guidance and direction to other modelers in the field by distilling some basic principles for model testing derived from insight gathered in the case studies presented. Additionally, model applications and their attendant uncertainties are presented from distinct spatio-temporal contexts and will appeal to a broad range of archaeological modelers. This volume will also be of interest to non-modeling archaeologists, as consideration of uncertainty when interpreting the archaeological record is also a vital concern for the development of non-formal (or implicit) models of human behavior in the past.

Toward an Integrated Approach to Narrative Generation: Emerging Research and Opportunities

Author : Ogata, Takashi
Publisher : IGI Global
Page : 432 pages
File Size : 40,7 Mb
Release : 2019-10-25
Category : Business & Economics
ISBN : 9781522596950

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Toward an Integrated Approach to Narrative Generation: Emerging Research and Opportunities by Ogata, Takashi Pdf

The concept of narrative has exerted a strong influence on a wide range of fields, from the humanities such as literature (and art and entertainment) to social studies, psychiatry, and psychology. The framework that allows access to narratives across a wide range of areas, from science to the humanities, has the potential to be improved as a fusion of cognitive science and artificial intelligence. Toward an Integrated Approach to Narrative Generation: Emerging Research and Opportunities is a critical scholarly book that focuses on the significance of narratives and narrative generation in various aspects of human society. Featuring an array of topics such as philosophy, narratology, and advertising, this book is ideal for software developers, academicians, philosophy professionals, researchers, and students in the fields of cognitive studies, literary studies, and digital content design and development.

Biologically Inspired Cognitive Architectures 2019

Author : Alexei V. Samsonovich
Publisher : Springer
Page : 617 pages
File Size : 52,9 Mb
Release : 2019-07-16
Category : Technology & Engineering
ISBN : 9783030257194

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Biologically Inspired Cognitive Architectures 2019 by Alexei V. Samsonovich Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Natural Language Processing: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1704 pages
File Size : 53,6 Mb
Release : 2019-11-01
Category : Computers
ISBN : 9781799809524

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Natural Language Processing: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

As technology continues to become more sophisticated, a computer’s ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries. Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.