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Author: L. Berov Publisher: IOS Press ISBN: 1643683837 Category : Computers Languages : en Pages : 362
Book Description
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.
Author: L. Berov Publisher: IOS Press ISBN: 1643683837 Category : Computers Languages : en Pages : 362
Book Description
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.
Author: L. Grumbach Publisher: IOS Press ISBN: 1643683977 Category : Computers Languages : en Pages : 340
Book Description
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.
Author: Inderjeet Mani Publisher: Springer Nature ISBN: 3031021479 Category : Computers Languages : en Pages : 124
Book Description
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
Author: Michael Mateas Publisher: John Benjamins Publishing ISBN: 9027297061 Category : Psychology Languages : en Pages : 350
Book Description
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)
Author: Marie-Laure Ryan Publisher: Indiana University Press ISBN: 9780253350046 Category : Computers Languages : en Pages : 310
Book Description
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.
Author: Gérard Genette Publisher: Cornell University Press ISBN: 9780801492594 Category : Language Arts & Disciplines Languages : en Pages : 292
Book Description
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.
Author: Ezza, El-Sadig Y. Publisher: IGI Global ISBN: 1799822672 Category : Education Languages : en Pages : 253
Book Description
It is now held that writing influences and is influenced by the discipline where it occurs. The representations that writers employ to produce and comprehend texts are said to be sensitive to the specificities of their disciplinary discourse communities. This exposes writers to divergent disciplinary demands and expectations on what counts as good and appropriate writing in terms of generic structure, discourse features, and stylistic preferences, reflecting dissimilar practices. Because of such exigencies, academic writing seems at times to be very challenging, especially for novice scholars. Thus, any attempt to perceive the function of academic writing in higher education or to evaluate its quality should not discard the shaping force of the disciplines. Teaching Academic Writing as a Discipline-Specific Skill in Higher Education is a critical scholarly resource that examines the role of writing within academic circles and the disciplinary practices of writing in scholastic environments. The book will also explore the particular difficulties that confront writers in the disciplines as well as the endeavors of educational institutions to develop discipline-specific writing traditions among practicing and novice scholars. Featuring a range of topics such as blended learning, data interpretation, and knowledge construction, this book is essential for instructors, academicians, administrators, professors, researchers, and students.
Author: David Herman Publisher: John Wiley & Sons ISBN: 1444356682 Category : Literary Criticism Languages : en Pages : 272
Book Description
Basic Elements of Narrative outlines a way of thinking about what narrative is and how to identify its basic elements across various media, introducing key concepts developed by previous theorists and contributing original ideas to the growing body of scholarship on stories. Includes an overview of recent developments in narrative scholarship Provides an accessible introduction to key concepts in the field Views narrative as a cognitive structure, type of text, and resource for interpersonal communication Uses examples from literature, face to face interaction, graphic novels, and film to explore the core features of narrative Includes a glossary of key terms, full bibliography, and comprehensive index Appropriate for multiple audiences, including students, non-specialists, and experts in the field
Author: Boris Kryzhanovsky Publisher: Springer Nature ISBN: 3030915816 Category : Technology & Engineering Languages : en Pages : 365
Book Description
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
Author: Lee Roy Beach Publisher: Cambridge Scholars Publishing ISBN: 1527581632 Category : Mathematics Languages : en Pages : 210
Book Description
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.
Author: L. Berov
Author: L. Berov
Author: L. Grumbach
Author: Inderjeet Mani
Author: Michael Mateas
Author: Marie-Laure Ryan
Author: Gérard Genette
Author: Ezza, El-Sadig Y.
Author: David Herman
Author: Boris Kryzhanovsky
Author: Lee Roy Beach