Shin Asakawa

• Ph.D.
• Tokyo Woman's Christian University

In this chapter, the authors focus on narrative contents by considering and analyzing narrative communication and simulation. In particular, the authors present the multiple narrative structures model and informational narratology as original theoretical frameworks in seeking to undertake narrative hierarchical and multiple structures and micro and...

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 v...

In spite of drastically increasing neuroimaging data, how semantic memory is organized has been a topic of controversy for decades. There still are contradictions shown by children in conceptual development and among symptoms shown by patients with category-specific semantic memory disorders. Several hypotheses have been proposed by cognitive- and...

The purpose of this study was to look for possibility whether Hopfield model can be one of candidates of models for human semantic memory organization. In the field of cognitive psychology, the generalized context model, proposed by Nosofsky, has been considered as a promising one. This model insists that category judgment of human subjects depend...

Structure of semantic memory was investigated in the way of neural network simulations in detail. In the literature, it is well-known that brain damaged patients often showed category specific disorder in various cognitive neuropsychological tasks like picture naming, categorisation, identification tasks and so on. In order to describe semantic mem...

The attractor neural networks, originally developed by Hinton & Shallice (Hinton and Shallice, 1991), can be applicable to variety of neuropsychological data. It can account for delays in reaction times of the brain damaged patients. When the network suffers damages, the iteration numbers between the output and the cleanup layers would increase. In...

An implementation of neural network models for reading English words aloud is proposed. Since 1989, there has been existing a debate in neuropsycholgy and cognitive science about the models of reading. One is the Dual Route Cascaded model, another is the Triangle model. Since there exist arbitrary variables in both models, it was dif- ficult to dec...

In this article, I discuss the implementation of neural network models for reading English words aloud. Since 1989, there has been existing a debate about the models of reading English words aloud. One is the Dual Route Cascaded (DRC) model. The other is the Triangle model, whose original version was developed in 1989. Because there are arbitrary v...

We propose SOMDS that is a combination of MDS (multidimensional scaling) and SOM. SOMDS is a special type of MDS that can learn locally and adaptively the structure of similarity data. SOMDS is a special type of SOM without neighborhood functions and whose inputs are similarities between objects. Convergence properties of the algorithm and some app...

Purpose. Kara h (1990) reported t iat patients with pure alexia have 'some kind of visuo-pereeptual impairment which decrease rheir reading performance- However, most research on reading impairment of pure alexia does nut discuss the interaction between visuu-pen eptual and rognitive processing. The present stud) attempts to discuss some aspects of...

Although the Elman network is so powerful that it can deal with a variety of language processings, there exist some short comings about its ability. For example, the original Elman net cannot always deal with a long distance dependency ap- propriately, which is a number agreement between nouns and verbs with many relative pronouns in a sentence. Th...