From Narratology to Computational Story Composition and Back

From Narratology to Computational Story Composition and Back

Author: L. Berov

Publisher: IOS Press

Published: 2023-03-10

Total Pages: 362

ISBN-13: 1643683837

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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.


Book Synopsis From Narratology to Computational Story Composition and Back by : L. Berov

Download or read book From Narratology to Computational Story Composition and Back written by L. Berov and published by IOS Press. This book was released on 2023-03-10 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

From Narratology to Computational Story Composition and Back

From Narratology to Computational Story Composition and Back

Author: Leonid Berov

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9783898387699

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Book Synopsis From Narratology to Computational Story Composition and Back by : Leonid Berov

Download or read book From Narratology to Computational Story Composition and Back written by Leonid Berov and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Modeling of Narrative

Computational Modeling of Narrative

Author: Inderjeet Mani

Publisher: Morgan & Claypool Publishers

Published: 2013

Total Pages: 145

ISBN-13: 1608459810

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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.


Book Synopsis Computational Modeling of Narrative by : Inderjeet Mani

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.

Flexible Workflows

Flexible Workflows

Author: L. Grumbach

Publisher: IOS Press

Published: 2023-07-07

Total Pages: 340

ISBN-13: 1643683977

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Traditional workflow management systems support the fulfillment of business tasks by providing guidance along a predefined workflow model. Due to the shift from mass production to customization, flexibility has become important in recent decades, but the various approaches to workflow flexibility either require extensive knowledge acquisition and modeling, or active intervention during execution. Pursuing flexibility by deviation compensates for these disadvantages by allowing alternative paths of execution at run time without requiring adaptation to the workflow model. This work, Flexible Workflows: A Constraint- and Case-Based Approach, proposes a novel approach to flexibility by deviation, the aim being to provide support during the execution of a workflow by suggesting items based on predefined strategies or experiential knowledge, even in case of deviations. The concepts combine two familiar methods from the field of AI - constraint satisfaction problem solving, and process-oriented case-based reasoning. The combined model increases the capacity for flexibility. The experimental evaluation of the approach consisted of a simulation involving several types of participant in the domain of deficiency management in construction. The book contains 7 chapters covering foundations; domains and potentials; prerequisites; constraint based workflow engine; case based deviation management; prototype; and evaluation, together with an introduction, a conclusion and 3 appendices. Demonstrating high utility values and the promise of wide applicability in practice, as well as the potential for an investigation into the transfer of the approach to other domains, the book will be of interest to all those whose work involves workflow management systems.


Book Synopsis Flexible Workflows by : L. Grumbach

Download or read book Flexible Workflows written by L. Grumbach and published by IOS Press. This book was released on 2023-07-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional workflow management systems support the fulfillment of business tasks by providing guidance along a predefined workflow model. Due to the shift from mass production to customization, flexibility has become important in recent decades, but the various approaches to workflow flexibility either require extensive knowledge acquisition and modeling, or active intervention during execution. Pursuing flexibility by deviation compensates for these disadvantages by allowing alternative paths of execution at run time without requiring adaptation to the workflow model. This work, Flexible Workflows: A Constraint- and Case-Based Approach, proposes a novel approach to flexibility by deviation, the aim being to provide support during the execution of a workflow by suggesting items based on predefined strategies or experiential knowledge, even in case of deviations. The concepts combine two familiar methods from the field of AI - constraint satisfaction problem solving, and process-oriented case-based reasoning. The combined model increases the capacity for flexibility. The experimental evaluation of the approach consisted of a simulation involving several types of participant in the domain of deficiency management in construction. The book contains 7 chapters covering foundations; domains and potentials; prerequisites; constraint based workflow engine; case based deviation management; prototype; and evaluation, together with an introduction, a conclusion and 3 appendices. Demonstrating high utility values and the promise of wide applicability in practice, as well as the potential for an investigation into the transfer of the approach to other domains, the book will be of interest to all those whose work involves workflow management systems.

Post-Narratology Through Computational and Cognitive Approaches

Post-Narratology Through Computational and Cognitive Approaches

Author: Ogata, Takashi

Publisher: IGI Global

Published: 2019-02-01

Total Pages: 521

ISBN-13: 152257980X

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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.


Book Synopsis Post-Narratology Through Computational and Cognitive Approaches by : Ogata, Takashi

Download or read book Post-Narratology Through Computational and Cognitive Approaches written by Ogata, Takashi and published by IGI Global. This book was released on 2019-02-01 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational and Cognitive Approaches to Narratology

Computational and Cognitive Approaches to Narratology

Author: Ogata, Takashi

Publisher: IGI Global

Published: 2016-07-15

Total Pages: 467

ISBN-13: 1522504338

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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.


Book Synopsis Computational and Cognitive Approaches to Narratology by : Ogata, Takashi

Download or read book Computational and Cognitive Approaches to Narratology written by Ogata, Takashi and published by IGI Global. This book was released on 2016-07-15 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Models of Narrative

Computational Models of Narrative

Author: Association for the Advancement of Artificial Intelligence

Publisher:

Published: 2010-11-13

Total Pages: 90

ISBN-13: 9781577354864

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Book Synopsis Computational Models of Narrative by : Association for the Advancement of Artificial Intelligence

Download or read book Computational Models of Narrative written by Association for the Advancement of Artificial Intelligence and published by . This book was released on 2010-11-13 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Narrative Discourse

Narrative Discourse

Author: Gérard Genette

Publisher: Cornell University Press

Published: 1980

Total Pages: 292

ISBN-13: 9780801492594

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Genette uses Proust's Remembrance of Things Past as a work to identify and name the basic constituents and techniques of narrative. Genette illustrates the examples by referring to other literary works. His systemic theory of narrative deals with the structure of fiction, including fictional devices that go unnoticed and whose implications fulfill the Western narrative tradition.


Book Synopsis Narrative Discourse by : Gérard Genette

Download or read book Narrative Discourse written by Gérard Genette and published by Cornell University Press. This book was released on 1980 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genette uses Proust's Remembrance of Things Past as a work to identify and name the basic constituents and techniques of narrative. Genette illustrates the examples by referring to other literary works. His systemic theory of narrative deals with the structure of fiction, including fictional devices that go unnoticed and whose implications fulfill the Western narrative tradition.

The Theory of Narrative Thought

The Theory of Narrative Thought

Author: Lee Roy Beach

Publisher: Cambridge Scholars Publishing

Published: 2022-02-25

Total Pages: 210

ISBN-13: 1527581632

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The renowned naturalist, Loren Eisely, observed that we humans have given up the “certainty of the animal that what it senses is exactly there in the shape the eye beholds.” The big question is, what did we get in return? This book provides a convincing answer to this question, arguing that, instead of recording reality, your brain uses your experience to create a story, a narrative, about how what happened to you in the past led to what is happening to you now. This narrative is your private reality. The book continues by showing how replacing recorded reality with private narrative enabled humans to anticipate the fundamentally unknowable immediate and remote future and expose potential threats. It then shows how private narrative enabled complex thought and communication with others. Drawing upon a wide range of research, the book provides a stimulating new way of viewing human experience, thinking, communicating, and action.


Book Synopsis The Theory of Narrative Thought by : Lee Roy Beach

Download or read book The Theory of Narrative Thought written by Lee Roy Beach and published by Cambridge Scholars Publishing. This book was released on 2022-02-25 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The renowned naturalist, Loren Eisely, observed that we humans have given up the “certainty of the animal that what it senses is exactly there in the shape the eye beholds.” The big question is, what did we get in return? This book provides a convincing answer to this question, arguing that, instead of recording reality, your brain uses your experience to create a story, a narrative, about how what happened to you in the past led to what is happening to you now. This narrative is your private reality. The book continues by showing how replacing recorded reality with private narrative enabled humans to anticipate the fundamentally unknowable immediate and remote future and expose potential threats. It then shows how private narrative enabled complex thought and communication with others. Drawing upon a wide range of research, the book provides a stimulating new way of viewing human experience, thinking, communicating, and action.

Possible Worlds, Artificial Intelligence, and Narrative Theory

Possible Worlds, Artificial Intelligence, and Narrative Theory

Author: Marie-Laure Ryan

Publisher: Indiana University Press

Published: 1991

Total Pages: 310

ISBN-13: 9780253350046

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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.


Book Synopsis Possible Worlds, Artificial Intelligence, and Narrative Theory by : Marie-Laure Ryan

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.