Computational and Cognitive Approaches to Narratology from the Perspective of Narrative Generation

2016 ◽  
pp. 1-74 ◽  
Author(s):  
Takashi Ogata
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Systematic Study ◽  
General Description ◽  
Research Framework ◽  
Story Generation ◽  
Narrative Generation ◽  
Literary Theories ◽  
Interdisciplinary Approaches ◽  
Cognitive Theories

This chapter surveys and discusses interdisciplinary approaches to primarily Artificial Intelligence (AI)-based computational narrative or story generation systems by way of introducing cognitive science, and narratology and related literary theories. The first part of this chapter provides a general description (from the perspective of the research framework of the author) and the second part presents processes, theories, designs, and implementations of narrative generation by the author. In particular, the first part includes an overview of narratology and the relevant literary theories, computational and cognitive theories and techniques related to narratology and narrative generation, and narrative generation systems. The second part presents, in relative detail, components that constitute a systematic study for narrative generation by the author and an integrated narrative generation system of all of the previous attempts.

Computational and Cognitive Approaches to Narratology From the Perspective of Narrative Generation

2018 ◽  
pp. 156-229 ◽  
Author(s):  
Takashi Ogata
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Systematic Study ◽  
General Description ◽  
Research Framework ◽  
Story Generation ◽  
Narrative Generation ◽  
Literary Theories ◽  
Interdisciplinary Approaches ◽  
Cognitive Theories

This chapter surveys and discusses interdisciplinary approaches to primarily Artificial Intelligence (AI)-based computational narrative or story generation systems by way of introducing cognitive science, and narratology and related literary theories. The first part of this chapter provides a general description (from the perspective of the research framework of the author) and the second part presents processes, theories, designs, and implementations of narrative generation by the author. In particular, the first part includes an overview of narratology and the relevant literary theories, computational and cognitive theories and techniques related to narratology and narrative generation, and narrative generation systems. The second part presents, in relative detail, components that constitute a systematic study for narrative generation by the author and an integrated narrative generation system of all of the previous attempts.

A Computational, Cognitive, and Narratological Approach to Narrative Generation

2019 ◽  
pp. 1-84 ◽  
Author(s):  
Takashi Ogata
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Systematic Study ◽  
General Description ◽  
Research Framework ◽  
Story Generation ◽  
Narrative Generation ◽  
Literary Theories ◽  
Interdisciplinary Approaches ◽  
Cognitive Theories

This chapter surveys and discusses interdisciplinary approaches to primarily artificial intelligence (AI)-based computational narrative or story generation systems by way of introducing cognitive science, and narratology and related literary theories. The first part of this chapter provides a general description (from the perspective of the research framework of the author) and the second part presents processes, theories, designs, and implementations of narrative generation by the author. In particular, the first part includes an overview of narratology and the relevant literary theories, computational and cognitive theories and techniques related to narratology and narrative generation, and narrative generation systems. The second part presents, in relative detail, components that constitute a systematic study for narrative generation by the author and an integrated narrative generation system of all of the previous attempts.

scholarly journals Representations, Affordances, and Interactive Systems

2021 ◽  
Vol 5 (5) ◽  
pp. 23
Author(s):  
Robert Rowe
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Data Structures ◽  
Digital Computer ◽  
Mental Representations ◽  
Interactive Systems ◽  
Algorithmic Composition ◽  
The World ◽  
History Of

The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program itself. Parallel histories in cognitive science and artificial intelligence have (of necessity) confronted their own notions of representations, including the ecological perception view of J.J. Gibson, who claims that mental representations are redundant to the affordances apparent in the world, its objects, and their relations. This review tracks these parallel histories and how the orientations and designs of multimodal interactive systems give rise to their own affordances: the representations and models used expose parameters and controls to a creator that determine how a system can be used and, thus, what it can mean.

Automatic Story Generation

2021 ◽  
Vol 54 (5) ◽  
pp. 1-38
Author(s):  
Arwa I. Alhussain ◽  
Aqil M. Azmi
Keyword(s):  
Artificial Intelligence ◽  
Automatic Generation ◽  
Evaluation Methods ◽  
Extensive Study ◽  
Computational Creativity ◽  
Story Generation ◽  
To Receive ◽  
Shed Light

Computational generation of stories is a subfield of computational creativity where artificial intelligence and psychology intersect to teach computers how to mimic humans’ creativity. It helps generate many stories with minimum effort and customize the stories for the users’ education and entertainment needs. Although the automatic generation of stories started to receive attention many decades ago, advances in this field to date are less than expected and suffer from many limitations. This survey presents an extensive study of research in the area of non-interactive textual story generation, as well as covering resources, corpora, and evaluation methods that have been used in those studies. It also shed light on factors of story interestingness.

scholarly journals Neo-mechanistic explanatory integration for cognitive science: the problem of reduction remains

Sofia ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 124-145 ◽  
Author(s):  
Diego Azevedo Leite
Keyword(s):  
Information Processing ◽  
Cognitive Science ◽  
Cognitive Models ◽  
Human Cognition ◽  
Cognitive Mechanisms ◽  
Cognitive Sciences ◽  
Significant Challenge ◽  
Neural Processes ◽  
Cognitive Theories ◽  
Multi Level

One of the central aims of the neo-mechanistic framework for the neural and cognitive sciences is to construct a pluralistic integration of scientific explanations, allowing for a weak explanatory autonomy of higher-level sciences, such as cognitive science. This integration involves understanding human cognition as information processing occurring in multi-level human neuro-cognitive mechanisms, explained by multi-level neuro-cognitive models. Strong explanatory neuro-cognitive reduction, however, poses a significant challenge to this pluralist ambition and the weak autonomy of cognitive science derived therefrom. Based on research in current molecular and cellular neuroscience, the framework holds that the best strategy for integrating human neuro-cognitive theories is through direct reductive explanations based on molecular and cellular neural processes. It is my aim to investigate whether the neo-mechanistic framework can meet the challenge. I argue that leading neo-mechanists offer some significant replies; however, they are not able yet to completely remove strong explanatory reductionism from their own framework.

Cognitive Science in Telemedicine: From Psychology to Artificial Intelligence

2015 ◽  
pp. 5-22 ◽  
Author(s):  
Gabriella Pravettoni ◽  
Raffaella Folgieri ◽  
Claudio Lucchiari
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science
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