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。.

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)

Everyday aesthetic experiences and concerns occupy a large part of our aesthetic life. However, because of their prevalence and mundane nature, we tend not to pay much attention to them, let alone examine their significance. Western aesthetic theories of the past few centuries also neglect everyday aesthetics because of their almost exclusive emphasis on art. In a ground-breaking new study, Yuriko Saito provides a detailed investigation into our everyday aesthetic experiences, and reveals how our everyday aesthetic tastes and judgments can (...) exert a powerful influence on the state of the world and our quality of life. By analysing a wide range of examples from our aesthetic interactions with nature, the environment, everyday objects, and Japanese culture, Saito illustrates the complex nature of seemingly simple and innocuous aesthetic responses. She discusses the inadequacy of art-centered aesthetics, the aesthetic appreciation of the distinctive characters of objects or phenomena, responses to various manifestations of transience, and the aesthetic expression of moral values; and she examines the moral, political, existential, and environmental implications of these and other issues. (shrink)

The epistemological chasm between how we (implicitly and subjectively) perceive or imagine the actual world and how we (explicitly and “objectively”) think of its underlying entities has motivated perhaps the most disconcerting impasse in human thought: the explanatory gap between the phenomenal and physical properties of the world. Here, I advocate a combination of philosophical skepticism and simplicity as an informed approach to arbitrate among theories of consciousness. I argue that the explanatory gap is rightly a gap in our understanding, (...) but one that is not surprising; and we being observers biased by our first-person perspective and our existence may both hinder and (the realization we have them) assist our reasoning. Further, I unfold the concept of observer into two distinct notions based on its functional and phenomenal aspects, and exploit this device to elucidate the subject-observer relationship. Then, I proceed to analyze the philosophical zombie dilemma. Lastly, I contend that from a skeptical viewpoint, panpsychism (or neutral monism) is the most parsimonious doctrine accounting for the explanatory gap, and suggest that it would be possible to make headway in the hard problem of consciousness by uncovering non-trivial causal relationships between qualia states and functional states, if routine and controlled manipulation of neural circuits were easily available. (shrink)

To apply reinforcement learning to difficult classes such as real-environment learning, we need to use a method robust to perceptual aliasing problem. The exploitation-oriented methods such as Profit Sharing can deal with the perceptual aliasing problem to a certain extent. However, when the agent needs to select different actions at the same sensory input, the learning efficiency worsens. To overcome the problem, several state partition methods using history information of state-action pairs are proposed. These methods try to convert a POMDP (...) environment into an MDP environment, and thus they are sometimes very useful. However, their computation cost is very high especially in large state spaces. In contrast, memory-less approaches try to escape from the aliased states by outputting actions stochastically. However, these methods output actions stochastically even in unaliased states, and thus the learning efficiency is bad. If we desire to guarantee the rationality in POMDPs, it is efficient to output actions stochastically only in the aliased states and to output one action deterministically in the other unaliased states. Hence, to discriminate between aliased states and unaliased states, the utilization of χ² -goodness-of-fit test is proposed by Miyazaki et al. They point out that, in aliased states, the distributions of the state transitions by random search and a particular policy are different. This difference doesn't occur owing to non-deterministic actions. Hence, if the agent can collect enough samples to implement the test, the agent can distinguish between aliased states and unaliased states well. However, such a test needs a large amount of data, and it's a problem how the agent collects samples without worsening learning efficiency. If the agent uses random search in the course of learning, the learning efficiency worsens especially in unaliased states. Therefore, in this research, we propose a new method called Extended On-line Profit Sharing with Judgement (EOPSwJ) to detect important incomplete perception, which doesn't need large computation cost and numerous samples. We use two criterions for detecting important incomplete perceptions to attain a task. One is the rate of transitions to each state, and the other is the deterministic rate of actions. We confirm the availability of EOPSwJ using two simulations. (shrink)

We propose a novel algorithm to transliterate English to Japanese and its application to a voice controlled browser, which enable ordinary Japanese people to browse English Web site by voice. Speech recognition software designed for native English speakers do not work for most Japanese because Japanese can't pronounce English as native English speakers do. Therefore, we combined Japanese speech recognition software with English-to-Japanese transliteration software. The accuracy of our transliteration algorithm is 80% recall for the top candidate, and 92% recall (...) for the top three candidates. The browser using this transliteration algorithm makes it possible for Japanese to navigate English Web pages almost as accurate as Japanese pages by voice commands. (shrink)