• Proceedings of the Safety Management and Science Conference
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• 2011.11a
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• pp.219-224
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• 2011

The research reviews the logical approach based on the creative thoughts. The two logical approaches, including deductive convergent and inductive divergent are discussed with why-why techniques and how-how techniques. While the deductive thinking is vertical logic for interconnected hierarchical and deep domains, the inducive thinking is horizontal logic for mutually exclusive and collectively exhausted frameworks. The creative thinking comes from the reversing the logic and lessening the premise of convergent and divergent approaches.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.183-186
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• 1996

The relational database management systems sometimes require extremely long and complicated queries for a certain retreval. In this case, recursive retirevals are more efficient approach than the usual queries. Many researchers have tried to incorporate semantics in the traditional relational models using artificial intelligence techniques. This new concept becomes a deductive database and sometimes it is also called as a logic programming. However, the designer of a deductive database did not overcome the short of relational database. In this paper, we propose a new way of designing queries for the deductive database. We also provide relations for recursive retrieval in the deductive database. These approaches are applied for the material requirement planning.

• The Transactions of the Korea Information Processing Society
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• v.3 no.7
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• pp.1680-1686
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• 1996

The deterministic update method of intensional predicates in a parallel deductive database that deductive database is distributed in a parallel computer architecture in needed. Using updated data from the deterministic update method, a strategy for parallel evaluation of intensional predicates is required. The paper is concerned with an approach to updating parallel deductive database in which very insertion or deletion can be performed in a deterministic way, and an extended parallel semi-naive evaluation algorithm in a parallel computer architecture. After presenting an approach to updating intensional predicates and strategy for parallel evaluation, its implementation is discussed. A parallel deductive database consists of the set of facts being the extensional database and the set of rules being the intensional database. We assume that these sets are distributed in each processor, research how to update intensional predicates and evaluate using the update method. The parallel architecture for the deductive database consists of a set of processors and a message passing network to interconnect these processors.

• Lingua Humanitatis
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• v.1 no.1
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• pp.13-31
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• 2001

This essay seeks new possibilities in experimental thinking and to find ways in which philosophy can aid humanistic imagination. In emphasizing logical precision, philosophy has so far ignored the role of imagination in philosophical logic and limited itself to deductive logic. Despite the obvious fact that no degree of logical precision can fully account for, nor provide complete expression for, the vast range of human thought, other modes of thinking have suffered in the shadow of deductive logic. But these non-deductive models of thinking can in many cases better explain the emotive, aesthetic logic of the humanities. The kinds of models (deductive and non-deductive) in humanistic thinking include dialectic, abductive, analogic, pragmatic, inductive, and deductive logic. Each mode of logical thinking may be assigned a color that represents its emotive characteristics: red for dialectics (opposition): blue for abduction (transcendence); yellow for analogy (flexibility); green for pragmatics (peace); violet/purple for induction (fantasy); and finally orange for deduction (trust). And each mode can also be keyed to major areas in humanistic thought, making up the following connections: dialectic-red-history; abduction-blue-literature; analogy-yellow-philosophy ; pragmatics-green-religion ; induction-violet/purple-arts; and deduction-orange-science. These connections serve to illustrate the interrelationship between emotion and intelligence, leading us toward considerations of emotional intelligence and intelligent emotion. The former is increasingly gaining attention, as the effect of 'mood space' on intelligence is being scrutinized. That the rate of suicide among mathematicians is very high points to the need for careful study of the reverse relationship between emotion and intelligence, intelligent emotion. The need for the latter is all the more pressing, as the emergence of new technology is allowing, even forcing, us more and more to experience the world intellectually (i.e., sans emotive experience) through a new virtual space called cyberspace.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.307-316
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• 2021

This study aims to explore the effects of deductive FFI and inductive FFI in L2 learners' grammatical achievement and their reaction to the grammar instruction. 84 students were placed into three groups: 29 given deductive FFI(DG), 28 receiving inductive FFI(IG), and 27 with traditional instruction(CG). All students completed pre/post tests and questionnaires, and took a delayed post test 9 weeks after the treatment. For statistical anlayses of all the quantitative data, a one-way ANOVA, paired samples T-test, and repeated measures ANOVA were performed. The results indicated that both deductive and inductive FFI affected learners' grammatical achievement and their achievement was sustained over time. Deductive FFI was more effective than inductive FFI, whereas the IG students more positively changed their attitudes and perceptions to the grammar instruction. These findings of the study imply that FFI should be valued in an Korean EFL classroom, which would contribute to further longitudinal research for its sustainability.

• Journal of The Korean Association For Science Education
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• v.34 no.4
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• pp.375-383
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• 2014

The purpose of this study is to find out how middle school students evaluate scientific information in terms of hypothetico-deductive reasoning. A total of 66 middle school students completed a paper-and-pencil test on scientific information evaluation and 14 of them were individually interviewed for triangulation. The test includes six topics related to scientific or pseudoscientific information, and questions about each topic were sequenced based on a hypothetico-deductive reasoning. The hypothetico-deductive process consists of three steps: identifying predictions made by explanations in the information, identifying data actually obtained, and determining the fit between predictions and data to judge the validity of the explanations. Data analyses have focused on students' response types at each step, whether students used hypoethetico-deductive reasoning, and students' preference to evidence types in making decisions. The middle school students in this study answered the questions in various ways based on how they used the information given or personal knowledge and beliefs. A small portion of students evaluated information based on hypothetico-deductive reasoning. These students tended to give priority to scientific data in determining the validity of the information. On the other hand, students who did not use hypoethetico-deductive reasoning tended to prefer first-hand experience in the decision. The results provide implications for science lessons and the curriculum for scientific literacy. Further research should include student evaluation of the validity of data and other types of reasoning.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.251-267
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• 2003

In order to satisfy the needs of an intelligent information system, it is necessary to have more intelligent query processing in an object-oriented database. In this paper, we present a method to apply intelligent query processing in object-oriented databases using deductive approach. Using this method, we generate intelligent answers to represent the answer-set abstractly for a given query in object-oriented databases. Our approach consists of few stages: rule representation, rule reformation pre-resolution, and resolution. In rule representation, a set of deductive rules is generated based on an object-oriented database schema. In rule reformation, we eliminate the recursion in rules. In pre-resolution, rule transformation is done to get unique intensional literals. In resolution, we use SLD-resolution to generate intensional answers.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.991-998
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• 2002

With the advent of XML and database languages armed with the object-oriented concept and deductive logic, the problem of efficient query processing for them has become a major issue. We describe a way of processing semi-structured XML data through an implementation of a Deductive and Object-oriented Database (DOODB) language with the explanation of query processing. We have shown how to convert an XML data model to a DOODB data model. We have then presented an efficient query processing method based on Connection Graph Resolution. We also present a knowledge-based query processing method that uses the homomorphism of objects in the database and the associative rule of substitutions.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1449-1454
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• 2003

For many industrial processes there are good static models used for process design and steady state operation. By using system identification techniques, it is possible to obtain black-box models with reasonable complexity that describe the system well in specific operating conditions [1]. But black-box models using inductive modeling(IM) is not suitable for model based control because they are only valid for specific operating conditions. Thus we need to use deductive modeling(DM) for a wide operating range. Furthermore, deductive modeling is several merits: First, the model is possible to be modularized. Second, we can increase and decrease the model complexity. Finally, we are able to use model for plant design. Power plant must be able to operate well at dramatic load change and consider safety and efficiency. This paper proposes a simplified nonlinear model of an industrial boiler, one of component parts of a power plant, by DM method and applies optimal control to the model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3289-3295
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• 2010

In business material management, as the number of products and their parts increases, the employment of databases becomes inevitable. Many researchers have tried to incorporate semantics in traditional models using logic programming, resulting in the deductive method. However, since the designer of this method does not overcome the traditional design concept of relational method, there have been not much successful implementations in deductive method. Therefore, this paper propose the new way designing the retrieval methods for deductive databases and using those relations the query that makes recursive retrievals possible and hypotheses test in business material management.