• Korean journal of communication and information
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• v.54
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• pp.76-97
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• 2011

What are the meanings of abduction as a methodology of Cultural Studies? By contextualizing Charles Sanders Peirce's logic of abduction in the discipline of Cultural Studies, I explore the epistemological discussion on the modern scientific research methodology of social sciences. Abduction is a kind of logical inference, which is often associated with guessing or intuition. Peirce's method of abduction and Cultural Studies' contextual formation in effect address an alternative methodology to positivism. Criticizing the modern Eurocentric structure of knowledge construction, I suggest that the virtue of abduction, as a logic of discovery, should be re-discovered in the context of Cultural Studies. Abduction holds important lessons for Cultural Studies as well as social sciences in general because of its focus on intuition, empathy, and intellectual collaboration. Through its elaboration of the logic of abduction, Cultural Studies is able to maintain not only its epistemological ground but also its methodological communicability.

• Korean Journal of Cognitive Science
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• v.16 no.4
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• pp.369-386
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• 2005

Although Intelligent Tutoring System(ITS) offers individualized learning environment that overcome limited function of existent CAI, and consider many learners' variable, there is little development to be using at the sites of schools because of inefficiency of investment and absence of pedagogical content knowledge representation techniques. To solve these problem, we should study a method, which represents knowledge for ITS, and which reuses knowledge base. On the pedagogical content knowledge, the knowledge in education differs from knowledge in a general sense. In this paper, we shall primarily address the multi-complex structure of knowledge and explanation of learning vein using multi-complex structure. Multi-Complex, which is organized into nodes, clusters and uses by knowledge base. In addition, it grows a adaptive knowledge base by self-learning. Therefore, in this paper, we propose the 'Extended Neural Logic Network(X-Neuronet)', which is based on Neural Logic Network with logical inference and topological inflexibility in cognition structure, and includes pedagogical content knowledge and object-oriented conception, verify validity. X-Neuronet defines that a knowledge is directive combination with inertia and weights, and offers basic conceptions for expression, logic operator for operation and processing, node value and connection weight, propagation rule, learning algorithm.