Search Results 1-20 of 150

  • Comparative Analysis of the Components Affecting Local Vitality and Resident Well-Being in All Regions of Japan : Approach using Bayesian Network Modeling  [in Japanese]

    田中 正紀 , 椿 美智子 , 長澤 博英 , 高瀬 一幸

    地域学研究 = Studies in regional science : 日本地域学会年報 50(1), 147-174, 2020

  • Comparative Analysis of the Components Affecting Local Vitality and Resident Well-Being in All Regions of Japan: Approach using Bayesian Network Modeling  [in Japanese]

    TANAKA Masaki , TSUBAKI Michiko , NAGASAWA Hiroei , TAKASE Kazuyuki

    … Furthermore, we extracted effective variables for improvement of feelings of vitality and well-being by probabilistic reasoning. … In addition, we classified prefectures by the results of probabilistic reasoning, and compared the characteristic variables that affect vitality and well-being among six types.</p><p>JEL Classifications:C11, R11, O53</p> …

    Studies in Regional Science 50(1), 137-174, 2020

    J-STAGE 

  • Reasoning with Conditional Probabilities and Joint Distributions in Coq  [in Japanese]

    AFFELDT Reynald , GARRIGUE Jacques , SAIKAWA Takafumi

    … Second, we formalize the notion of conditional independence and its properties, paving the road for a formalization of probabilistic graphical models.</p> …

    Computer Software 37(3), 3_79-3_95, 2020

    J-STAGE 

  • Knowledge Integration by Probabilistic Argumentation

    OO Saung Hnin Pwint , HUNG Nguyen Duy , THEERAMUNKONG Thanaruk

    … <p>While existing inference engines solved real world problems using probabilistic knowledge representation, one challenging task is to efficiently utilize the representation under a situation of uncertainty during conflict resolution. …

    IEICE Transactions on Information and Systems E103.D(8), 1843-1855, 2020

    J-STAGE 

  • Reasoning and Programming in Artificial Intelligence  [in Japanese]

    井上 克巳 , 坂間 千秋 , 佐藤 泰介

    Journal of the Japanese Society for Artificial Intelligence (34), 703-713, 2019-09-01

    J-STAGE  JSAI 

  • Empirical Investigation of Cognitive Bias for Understanding User-Adaptive Algorithm  [in Japanese]

    Terada Kazunori , Yamada Seiji

    … The most recently used (MRU) algorithm, known to be one of the simplest adaptive algorithms, and probabilistic MRU algorithm were used to test the human capability to understand an algorithm. … The experimental results showed that inductive reasoning in which participants observed the history of computer action, and they updated a statistical model while restricting their focus on a certain history with deterministic bias and Markov bias played key role to correctly understand the MRU algorithm. …

    Transactions of the Japanese Society for Artificial Intelligence 34(4), A-I72_1-9, 2019

    J-STAGE 

  • An extended depth-first search algorithm for optimal triangulation of Bayesian networks

    Chao Li , Maomi Ueno

    The junction tree algorithm is currently the most popular algorithm for exact inference on Bayesian networks. To improve the time complexity of the junction tree algorithm, we need to find a triangula …

    International Journal of Approximate Reasoning (80), 294-312, 2017-01

    IR 

  • Method for Combining Paraconsistency and Probability in Temporal Reasoning

    Kamide Norihiro , Koizumi Daiki

    … However, CTL is not sufficient for handling inconsistency-tolerant and probabilistic accounts of concurrent systems. … In this paper, a paraconsistent (or inconsistency-tolerant) probabilistic computation tree logic (PpCTL) is derived from an existing probabilistic computation tree logic (pCTL) by adding a paraconsistent negation connective. …

    Journal of Advanced Computational Intelligence and Intelligent Informatics 20(5), 813-827, 2016

    J-STAGE 

  • Social brain growth and development  [in Japanese]

    Aihara Masao

    <p>【要旨】脳の成長とは、脳が大きくなり、安定した構造に近づくことである。生態学の研究から、猿類の大脳皮質の大きさは、群れの社会構造の複雑さ(social size)に比例していることが報告されている。社会適応に必要とされるヒトの前頭葉、前頭前野の体積を3D-MRIで定量的に測定したところ、前頭葉に対する前頭前野比は乳児期から8歳頃まで年齢とともに緩やかに増大し8~15歳の思春期前後 …

    Japanese Journal of Cognitive Neuroscience 18(3+4), 101-107, 2016

    J-STAGE 

  • A STUDY ON PROBABILISTIC MODEL OF EVALUATION OF GREEN ENVIRONMENT BASED ON RATIO OF VISIBLE GREEN USING BAYESIAN NETWORK  [in Japanese]

    MUNEMOTO Shinsaku , YAMADA Satoshi

    …  The purpose of this paper is to provide the method for the construction of the probabilistic model of the evaluation for the amount of green. … Bayesian networks are expected to construct probabilistic models including an uncertainty of human behavior for prediction and decision-making. …

    Journal of Architecture and Planning (Transactions of AIJ) 81(729), 2411-2419, 2016

    J-STAGE 

  • Modeling Logical and Probabilistic Reasoning as "Games Played by Agents in the Mind"  [in Japanese]

    Indo Kenryo

    … This study presents a model of human reasoning as a collection of micro-level in-<br>ternal agents, and applies it especially to two problems: the four-card selection task<br> … explain human reasoning, and connected to the frame systems and the society of mind<br> … At any step of reasoning, each agent microscopically<br> … Human reasoning is<br> …

    Cognitive Studies 23(2), 153-169, 2016

    J-STAGE 

  • Perspective 脳全体の動作原理を解明へ 汎用人工知能への最短の道  [in Japanese]

    一杉 裕志

    … 11)Pearl, J.,  Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, 1988.12)Ichisugi, Y.,  "Recognition Model of Cerebral Cortex based on Approximate Belief Revision Algorithml," Proc. …

    日経エレクトロニクス (1152), 99-111, 2015-02

    Nikkei BP 

  • Conceptual and Pedagogical Issues for Undergraduate Thesis Preparation

    Isemonger Ian

    … These include issues such as the priority of theory, the critical importance of measurement, and the nature of statistical inference as probabilistic reasoning. …

    Kumamoto journal of culture and humanities (105), 133-144, 2014-03

    IR 

  • Approximate Probabilistic Reasoning Algorithm Based on Simplifying Connecting Structure and on Assuring Reasoning Results for Bayesian Networks  [in Japanese]

    WAKASAKI Shuhei , KITAKOSHI Daisuke , SUZUKI Masato

    複数の確率変数間の依存関係を視覚的に表現可能な確率モデルの一つであるベイジアンネット(Bayesian Network: BN)は,その結合構造を活用した確率推論が可能であり,データマイニングや意思決定システム等,多様な分野への適用例が報告されている.本論文では,BNの結合構造簡略化処理によって計算量抑制と推論精度向上を実現した上で,精度保証処理を通じて利用者の要求に応じた信頼性の高い推論値を出力 …

    The IEICE transactions on information and systems (Japanese edition) 96(11), 2716-2727, 2013-11

  • The Comparison between Inductive Reasoning of Chinese and Japanese:Using Computational Models Based on the Statistical Analysis of Language Data  [in Japanese]

    Zhang Yujie , Terai Asuka , Dong Yuan , Wang Yue , Nakagawa Masanori

    … This study, at first, constructs a computational model of inductive reasoning based<br> … on the probabilistic concept structure estimated by the statistical analysis of large scale<br> … new computational model of inductive reasoning is constructed based on the statistical<br> … study examines the hypothesis that the inductive reasoning process does not necessar-<br>ily depend on the individual language system. …

    Cognitive Studies 20(4), 439-469, 2013

    J-STAGE 

  • Sherlock Holmes and probabilistic clinical reasoning  [in Japanese]

    Sasaki Haruki

    臨床検査において感度・特異度などベイズの定理が利用されていた. 近年, 病歴や身体所見の尤度比が報告されるようになりベイズの定理を用いた確率的推論が可能になってきた. シャーロック・ホームズの探偵術における確率の発言に注目し, 逆向きの推理はベイズの定理に一致することを示した.

    An Official Journal of the Japan Primary Care Association 36(4), 333-337, 2013

    J-STAGE  Ichushi Web 

  • Clinical Reasoning and Probability—Bayes' Theorem at the Bedside—  [in Japanese]

    Sasaki Haruki

    臨床検査において感度・特異度などベイズの定理が利用されていた. 近年, 病歴や身体所見の尤度比が報告されるようになり, ベイズの定理を用いたベッドサイドで確率的推論が可能になってきた. ベイズの定理の意味を再確認し, ベッドサイドで加法と乗法を用いた簡便な実用的2段階法を示した.

    An Official Journal of the Japan Primary Care Association 36(3), 191-197, 2013

    J-STAGE  Ichushi Web 

  • Consideration of Stream Data Processing with Probabilistic Reasoning

    川島 英之

    ベイジアンネットワークにおいて厳密解を求める確率伝播法としてメッセージパッシング法がある.この技法はノード数・生起事象数の増加に伴い計算時間が増大する.ストリームデータ処理では高速性が求められるため,同技法の利用は好ましくない.この問題を解決するために,確率伝播の事前計算化法を示す.第一の技法は確率値を事前に計算しておき,問合せ評価時に表探索を行う.第二の技法は λ 値と π 値を事前計算しておき …

    研究報告データベースシステム(DBS) 2012-DBS-155(17), 1-2, 2012-11-12

  • On Accelerating Probabilistic Reasoning by Prior Computation  [in Japanese]

    KAWASHIMA Hideyuki

    ベイジアンネットワークにおいて厳密解を求める確率伝播法としてメッセージパッシング法がある.この技法はノード数・生起事象数の増加に伴い計算時間が増大する.ストリームデータ処理では高速性が求められるため,同技法の利用は好ましくない.この問題を解決するために,確率伝播の事前計算化法を提案する.第一の提案技法は確率値を事前に計算しておき,問合せ評価時に表探索を行う.第二の提案技法はλ値とπ値を事前計算して …

    IEICE technical report. Computer systems 112(237), 61-66, 2012-10-05

    References (24)

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