-PDF Download- Narrative Intelligence EBOOK

Narrative Intelligence

Author: Michael Mateas

Publisher: John Benjamins Publishing

Published: 2003-02-27

Total Pages: 350

ISBN-13: 9027297061

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)

Rewriting Leadership with Narrative Intelligence

Author: Greg Morgan

Publisher: Emerald Group Publishing

Published: 2019-05-22

Total Pages: 249

ISBN-13: 178756777X

DOWNLOAD EBOOK →

Rewriting Leadership with Narrative Intelligence draws on a range of disciplines and scholarly traditions to build a compelling case for a new perspective on leadership, seeing it as a deeply embodied, intuitive skill of curating shared narratives in influence relationships.

Tell Me a Story

Author: Roger C. Schank

Publisher: Northwestern University Press

Published: 1995

Total Pages: 308

ISBN-13: 9780810113138

DOWNLOAD EBOOK →

In this study by an expert on learning and computers, the author argues that artificial intelligence must be based on real human intelligence.

Possible Worlds, Artificial Intelligence, and Narrative Theory

Author: Marie-Laure Ryan

Publisher: Indiana University Press

Published: 1991

Total Pages: 310

ISBN-13: 9780253350046

DOWNLOAD EBOOK →

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.

Story Intelligence

Author: Richard Stone

Publisher: Booklogix

Published: 2021-03-18

Total Pages: 336

ISBN-13: 9781610059831

DOWNLOAD EBOOK →

Story Intelligence-SQ-helps you become a master of your story, a pursuit indispensable to personal and professional success. By developing your SQ, you'll amplify and unleash every aspect of your intelligence, including your IQ and EQ. In this book, you'll also learn how you're wired for story and the ways it can set a positive trajectory for every facet of your life journey. Developing this level of mastery is imperative today because four in ten Americans have not discovered a satisfying life purpose. Nearly a quarter of us-about one hundred million people-do not have a strong sense of what makes our lives meaningful. We need more than ever ritual fires where we can gather to create new stories that transcend the old metanarratives that no longer enrich and satisfy the yearnings of our hearts and souls. Story is a potent medicine that can re-enchant our lives. By re-storying ourselves, consciously building it into everyday living, we can make space to hear ourselves better, listen more deeply to each other, and discern the tales the earth is quietly whispering in our ears. Hopefully, Story Intelligence will help you stoke a new kind of fire, assisting you in illuminating what the Japanese call "ikigai"-translated loosely as "that which most makes one's life seem worth living." Through mastering story, we believe you can build a more durable source of meaning and personal fulfillment, as well as have a broader impact for good in your community and the world. In this book, you'll also learn how to: harness the power of story to live with greater efficacy; become a more influential communicator; solve complex challenges using story-based solutions; transform your workplace and community; heal old wounds, change dysfunctional beliefs, and bridge differences by resolving deeply seated conflicts; and, acquire the narrative tools to craft a more desirable future.

AI Narratives

Author: Stephen Cave

Publisher: Oxford University Press, USA

Published: 2020-02-28

Total Pages: 439

ISBN-13: 0198846665

DOWNLOAD EBOOK →

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

Storythinking

Author: Angus Fletcher

Publisher: Columbia University Press

Published: 2023-06-06

Total Pages: 131

ISBN-13: 0231556721

DOWNLOAD EBOOK →

Every time we think ahead, we are crafting a story. Every daily plan—and every political vision, social movement, scientific hypothesis, business proposal, and technological breakthrough—starts with “what if?” Linking causes to effects, considering hypotheticals and counterfactuals, asking how other people will react: these are the essence of narrative. So why do we keep overlooking story’s importance to intelligence in favor of logic? This book explains how and why our brains think in stories. Angus Fletcher, an expert in neuroscientific approaches to narrative, identifies this capacity as “storythinking.” He demonstrates that storythinking is fundamental to what makes us human. Artificial intelligence can perform symbolic logic, rational deduction, and mathematical calculation, but it is incapable of deliberating in narrative. Drawing on new research in neuroscience and narrative theory, Fletcher explores the nature of imagination, innovation, and creativity. He provides concise answers to big questions: How does storythinking work? Why did it evolve? How can it misfire? What problems can it solve? Revealing the significance of storythinking from science to business to philosophy, this book also provides ways for readers to harness its power to script better tomorrows.

The Secret Language of Leadership

Author: Stephen Denning

Publisher: Wiley + ORM

Published: 2011-01-07

Total Pages: 328

ISBN-13: 1118047370

DOWNLOAD EBOOK →

The book introduces the concept of narrative intelligencean ability to understand and act and react agilely in the quicksilver world of interacting narratives. It shows why this is key to the central task of leadership, what its dimensions are, and how you can measure it. The books lucid explanations, vivid examples and practical tips are essential reading for CEOs, managers, change agents, marketers, salespersons, brand managers, politicians, teachers, parentsanyone who is setting out to the change the world.

Narrative Economics

Author: Robert J. Shiller

Publisher: Princeton University Press

Published: 2020-09-01

Total Pages: 408

ISBN-13: 0691212074

DOWNLOAD EBOOK →

From Nobel Prize–winning economist and New York Times bestselling author Robert Shiller, a groundbreaking account of how stories help drive economic events—and why financial panics can spread like epidemic viruses Stories people tell—about financial confidence or panic, housing booms, or Bitcoin—can go viral and powerfully affect economies, but such narratives have traditionally been ignored in economics and finance because they seem anecdotal and unscientific. In this groundbreaking book, Robert Shiller explains why we ignore these stories at our peril—and how we can begin to take them seriously. Using a rich array of examples and data, Shiller argues that studying popular stories that influence individual and collective economic behavior—what he calls "narrative economics"—may vastly improve our ability to predict, prepare for, and lessen the damage of financial crises and other major economic events. The result is nothing less than a new way to think about the economy, economic change, and economics. In a new preface, Shiller reflects on some of the challenges facing narrative economics, discusses the connection between disease epidemics and economic epidemics, and suggests why epidemiology may hold lessons for fighting economic contagions.

Computational Modeling of Narrative

Author: Inderjeet Mani

Publisher: Morgan & Claypool Publishers

Published: 2013

Total Pages: 145

ISBN-13: 1608459810

DOWNLOAD EBOOK →

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.