Religious Discourse in Modern Japan explores the transportation of the Western concept of “religion” in in the modern era; the emergence of discourse on Shinto, philosophy, and Buddhism; and the evolution of the academic discipline of religious studies in Japan.

Previous studies have suggested that musical training in childhood is beneficial for sociability. However, it remains unclear how age of onset of group music lessons is associated with the late sociability of children from a long-term perspective. This study investigated associations between group music lessons conducted at a music school and children’s levels of sociability by focusing on the age of onset of the lessons. We conducted a survey of 276 children aged 4–5 years (M = 58.5 months) and 6–7 (...) years (M = 82.7 months) who commenced music lessons at ages 1, 2, 4, and 6 years. We found that (1) the empathy scores of children aged 6–7 years who began lessons when 1-year-old were greater than those who began lessons when 4-years-old, (2) the communication scores of children aged 4–5 years who began lessons when 1-year-old were greater than those who began lessons when older than 1 year, and (3) the empathy and extraversion scores were high in those aged 6–7 years who began lessons in that age range. The results suggest that early onset of music lessons could positively influence children’s sociability; in contrast, after about age 7 years, children who already had high sociability may be more inclined to select group music lessons. By focusing on the impact of regular group music lessons from a very young age on later levels of sociability, these results further elucidate the effects of musical lessons. In sum, participation in group music lessons 2–4 times per month can be effective social training for very young children and foster their later sociability. (shrink)

Children, in their everyday lives, encounter several types of humanoid robots. The purpose of this study was to investigate children’s folk knowledge of robots using the card-choice task. In the task, both adults and five- and six-year-old children were given nine questions concerning the biological and psychological properties of robots. They were asked to choose the appropriate stimuli from among five objects including living things, nonliving things, and a robot. The results revealed that the children tended to attribute certain biological (...) properties to the robot. These results accorded with previous results. However, in our study, contrary to previous such studies, even older children showed such a tendency. Moreover, the children were unable to choose all the cards in the same way as the adults. Thus, it can be concluded that children’s knowledge of robots is incomplete. And the children’s knowledge is changed by method. (shrink)

政治社会への新しい視座を導く案内書。「正義」からではなく「不正義」から見ると自明とされている制度や規範はどのように異なって見えるのか。思想家たちが問題を発見してきた視座に注目し、この社会の政治を問い返 す。.

This paper introduces a refined single-valued neutrosophic set (RSVNS) and presents a similarity measure of RSVNSs. Then a multicriteria decision-making method with RSVNS information is developed based on the similarity measure of RSVNSs. By the similarity measure between each alternative and the ideal solution (ideal alternative), all the alternatives can be ranked and the best one can be selected as well. Finally, an actual example on the selecting problems of construction projects demonstrates the application and effectiveness of the proposed method.

A clear account of the principles of fuzzy logic-based design, from a computer/electronics engineering perspective. This pedagogical work incorporates current fuzzy logic techniques, emphasizing hardware/software design for fuzzy systems and fuzzy logic development tools.

In this engaging book, Kosman offers a vigorous extended defence of a distinctive and highly ambitious claim, namely, that Aristotle’s account of potentiality/ability and actuality/activity in book Theta of the Metaphysics is an integral and central part of Aristotle’s account of what being is, which means that, for Kosman, Aristotle defends the thesis that being is, precisely, activity. In addition to the distinctive character of this claim, there are two notable suppositions behind it, which, likewise, Kosman defends. First, the Metaphysics (...) is addressed to a single, overall question, namely ‘What is it for something to be?’, a question that Aristotle introduces in book Gamma, takes on in books Zeta and Eta, gives a distinctive answer to in Theta and takes to its point of culmination in Lambda. This question, as Kosman spells out instructively and at length, is tackled by Aristotle through a distinction between primary being, or substance , and other beings .. (shrink)

We study the computational content of various theorems with reverse mathematical strength around Arithmetical Transfinite Recursion (ATR_0) from the point of view of computability-theoretic reducibilities, in particular Weihrauch reducibility. Our main result states that it is equally hard to construct an embedding between two given well-orderings, as it is to construct a Turing jump hierarchy on a given well-ordering. This answers a question of Marcone. We obtain a similar result for Fraïssé's conjecture restricted to well-orderings.

Product recommendation system is realized by applying business rules acquired by data maining techniques. Business rules such as demographical patterns of purchase, are able to cover the groups of users that have a tendency to purchase products, but it is difficult to recommend products adaptive to various personal preferences only by utilizing them. In addition to that, it is very costly to gather the large volume of high quality survey data, which is necessary for good recommendation based on personal preference (...) model. A method collecting kansei information automatically without questionnaire survey is required. The constructing personal preference model from less favor data is also necessary, since it is costly for the user to input favor data. In this paper, we propose product recommendation system based on kansei information extracted by text mining and user's preference model constructed by Category-guided Adaptive Modeling, CAM for short. CAM is a feature construction method that can generate new features constructing the space where same labeled examples are close and different labeled examples are far away from some labeled examples. It is possible to construct personal preference model by CAM despite less information of likes and dislikes categories. In the system, retrieval agent gathers the products' specification and user agent manages preference model, user's likes and dislikes. Kansei information of the products is gained by applying text mining technique to the reputation documents about the products on the web site. We carry out some experimental studies to make sure that prefrence model obtained by our method performs effectively. (shrink)