Research on Advanced Systems of Efficient Hypothesis Finding
Research on Advanced Systems of Efficient Hypothesis Finding
批准号:
17300051
负责人:
INOUE Katsumi
金额:
$7.8万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2005
资助国家:
日本
项目状态:
已结题
起止时间:
2005 至 2007
中文摘要
在这项研究中,我们开发了新的先进的假设发现方法,并实现了基于结果发现技术的高效假设发现系统。所提出的太阳系统和CF诱导系统分别计算了溯因假说和归纳假说。研究成果可概括为以下三个方面。高级假设发现的基本理论(岩间、井上、Nabeshima)。我们发展了关于溯因理论的等价性、缺省理论和逻辑程序的一般性以及动作描述中因果规律的归纳的理论结果。我们还研究了解释性归纳和描述性归纳的一个新的综合框架--限制归纳的某些方面,并提出了一种新的一阶近似方法,称为逐点限制归纳,它使我们能够通过普通的结果发现演算推导出一些有趣的假设。开发一种高效的结果发现系统(Nabeshi…证明了任何SOL/连接表的大小保持倒置变换都可以通过折叠操作来实现,并给出了增量公理递增环境下的大小最优结果寻找演算。我们还发展了一种非稳定生产场的结果发现方法,并将其应用于从全子句理论中完成推导。我们进一步实现了一个新版本的后果发现系统Solar,它使用了各种最先进的剪枝技术。研究了SOLAR框架下对公理的等价处理,并首次实现了一个C版本的SOLAR原型系统。基于CF-归纳的假设发现及其应用(Inoue)。CF-归纳是一个完善和完整的归纳逻辑程序设计系统,用于从全从句理论计算假设。CF-归纳由几个不确定的过程组成,特别是它的推广过程被假设为归纳算子的任意完全组合。因此,我们提出了一种方法,通过保持CF-归纳的可靠性和完备性来减少泛化算子的可能组合。接下来,我们将CF诱导应用于代谢途径中可能的酶反应状态的估计。在这项工作中,我们证明了CF诱导不仅可以计算酶反应的可能状态,还可以计算当前背景理论中缺失的因果关系。较少
英文摘要
In this research, we developed new advanced methods for hypothesis finding and implemented efficient hypothesis-finding systems based on consequence-finding techniques. The proposed systems, SOLAR and CF-induction, compute abductive and inductive hypotheses, respectively. Research results can be summarized as the following three items.1. Basic theories for advanced hypothesis-finding (Iwanuma, Inoue, Nabeshima).We developed theoretical results on equivalence of abductive theories, generality of default theories and logic programs, and induction of causal laws in action descriptions. We also studied some aspects of circumscriptive induction, which is a new integrated framework of explanatory induction and descriptive induction, and proposed a new first-order approximation method, called pointwise circumscriptive induction, which enables us to derive some interesting hypotheses by the ordinary consequence finding calculus.2. Development of an efficient consequence-finding system (Nabeshi … More ma, Iwanuma, Inoue).We showed that a size-preserving upside-down transformation of any SOL/Connection tableau can be achieved by the folding-up operation, and gave a size-optimal consequence finding calculus for an incrementally axiom-increasing environment. We also developed a consequence-finding method with non-stable production fields and applied it to complete abduction from full clausal theories. We further implemented a new version of the consequence-finding system SOLAR with various state-of-the-art pruning techniques. Handling axioms with equality is also investigated in the SOLAR framework, and a prototype system of a C++ version of SOLAR is firstly realized.3. Hypothesis-finding by CF-induction and its application (Inoue).CF-induction is a sound and complete inductive logic programming system to compute hypotheses from full-clausal theories.CF-induction consists of several nondeterministic procedures, and in particular its generalization procedure is assumed to be any complete combination of inductive operators. We thus proposed a method to reduce possible combinations of generalization operators by preserving the soundness and completeness of CF-induction. Next, we applied CF-induction to estimation of possible enzymatic reaction states in metabolic pathways. In this work, we showed that CF-induction can compute not only possible states of enzymatic reactions but also causal relations that are missing in the current background theory. Less
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Towards a Logical Reconstruction of CF-Induction.
走向 CF 归纳的逻辑重建。
DOI:
--
发表时间:
2008
期刊:
New Frontiers in Artificial Intelligence, Lecture Notes in Artificial Intelligence 4914
影响因子:
--
作者:
[宇藤 陽介, 南角 吉彦, 李 晃伸, 徳田 恵一, Yoshitaka Yamamoto]
通讯作者:
Yoshitaka Yamamoto
Consequence Finding and Computing Answers with Defaults
使用默认值查找结果并计算答案
DOI:
--
发表时间:
2006
期刊:
Journal of Intelligent Information Systems 26(1)
影响因子:
--
作者:
[小林 隆二, 篠田 浩一, 古井 貞煕, Katsumi Inoue]
通讯作者:
Katsumi Inoue
Estimation of Possible Reaction States in Metabolic Pathways using Inductive Logic Programming.
使用归纳逻辑编程估计代谢途径中可能的反应状态。
DOI:
--
发表时间:
2008
期刊:
影响因子:
--
作者:
[広瀬啓吉 編著, 徳田恵一 分担, 徳田恵一, Yoshitaka Yamamoto]
通讯作者:
Yoshitaka Yamamoto
情報量と頻度に基づく系列データマイニングにおける非同期パターンの抽出と高速化
基于信息量和频率的顺序数据挖掘中异步模式的提取和加速
DOI:
--
发表时间:
2008
期刊:
影响因子:
--
作者:
[Nguyen Huu Bach, 篠田 浩一, 古井 貞煕, 村田順平]
通讯作者:
村田順平
Biological Systems Analysis Using Inductive Logic Programming.
使用归纳逻辑编程进行生物系统分析。
DOI:
--
发表时间:
2007
期刊:
影响因子:
--
作者:
[松本和幸, 三品賢一, 任福継, 黒岩眞吾, Andrei Doncescu]
通讯作者:
Andrei Doncescu
共 38 条
Modeling and Inference of Resilient Systems
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批准号:26280092
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$7.74万
-
财政年份:2014
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负责人:INOUE Katsumi
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依托单位:
Inference-based Hypothesis-finding and its Application to Systems Biology
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批准号:20240016
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项目类别:Grant-in-Aid for Scientific Research (A)
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资助金额:$21.8万
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财政年份:2008
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负责人:INOUE Katsumi
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依托单位:
Allowable Transmission Load of Carburized Gear for Risk Management
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批准号:16360074
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$9.66万
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财政年份:2004
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负责人:INOUE Katsumi
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依托单位:
Research on Knowledge Discovery based on Consequence Finding
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批准号:14380164
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$4.03万
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财政年份:2002
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负责人:INOUE Katsumi
-
依托单位:
Research on an Integrated System for Fast SAT Planning
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批准号:12680384
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.05万
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财政年份:2000
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负责人:INOUE Katsumi
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依托单位:
例外を有する一般規則を学習する帰納推論システムの研究
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批准号:10680381
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.05万
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财政年份:1998
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负责人:INOUE Katsumi
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依托单位:
海外基金