This paper generalizes the simple regret model by Bell in Operations Research 30(5), 961-981 and Loomes and Sugden in The Economic Journal 92(368), 805-824 to cope with the situation in which decision outcomes are multi-attributed. We propose a model that combines the simple regret model for ex ante preferences and the additive difference representation for ex post preferences. We first present a necessary and sufficient axiomatization of our model in Savage’s framework. The proposed model is composed of three types of (...) functions. One is a value function for each attribute. The others are attribute-dependent and holistic regret-rejoicing functions that capture trade-offs among value-differences of chosen and forgone outcomes for each attribute and among all attributes, respectively. We then provide constructive procedures for those functions and methods for consistency checks of the procedures. We, finally, conduct an experiment to estimate those functions in the two attributes case by means of the constructive procedure and give an application of the model and our findings. (shrink)

神を認めると個人の自由の場がなくなる。では個人は神なしで自分を救済することができるのか?人間にはそれだけの力量はない。田辺元は、この深淵のなかで苦悩する。.

世界が大きな時代の変動期を迎えている現在、科学技術は何をよりどころとし、どこへ向かうべきなのか。洋を越えて多様な文化の源流から探る、科学の未来。.

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)

中世から近世に移るカオスの中で人びとはどのように生き、社会の中で思想を形成していったか。本書はそこにみられる、近代が切り捨ててきた、人と人とのつながりを真摯に追求する。.

This paper offers an explanation of how collaboration leads to abstract and flexible problem solving. We asked the individual and paired subjects to indicate 3/4 of 2/3 of the area of a square sheet of paper and found that (1) they primarily folded or partitioned the paper rather than algorithmically calculating the answer, (2) they strongly tendened to backtrack and confirm their proto‐plans on externalized traces such as creases on the paper, and (3) only the paired subjects shifted to the (...) mathematical strategy in their second trials. Based on these results, we propose that two factors, individuals' activeness in choosing and confirming the initial strategies and the frequent role exchange between task‐doing and monitoring in collaborative situations, interact in collaboration to generate various solutions differing in the degree of abstraction, which are then reflected upon by the participants to lead them to abstraction. (shrink)

This volume contains a selection of papers presented at the special workshop "Truth and Objectivity in Law and Morals," held at the 26th World Congress of the IVR. The papers deal with diverse but correlated issues such as the search for truth in and through legal argumentation; the intelligible character of rules inside theories of interpretation which guarantee the coherence and the integrity of law; the role of hermeneutic analysis in the construction of the objectivity of law; the procedural and (...) contextual aspects of objectivity in legal reasoning; the role of objectivity in the distinction between the context of justification and the context of discovery; the problem about truth of normative propositions and legal statements; the incompatibility of non factualism with the traditional account of validity and legality; as well as the possibility of objectivity in morals. (shrink)

This paper presents the first English translation of one of Tanabe’s early essays on Kant. Translated by Takeshi Morisato.

"Tanabe's agenda was not religious but philosophical in that he tried to integrate Eastern and Western insights in order to acquire a cross-cultural philosophical vision for the post-war world community.... This book shows his superior philosophical originality.... It is high time that Tanabe's thought should be introduced to the West."—Joseph Kitagawa, University of Chicago.