Basic Principles

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Girimananda Sutta: Holistic Approach for development of commonsense knowledge system in clinical psychology
(2012) Mendis, D.S.K.; Karunananda, A.S.; Samarathunga, U.
The Buddhists believe that Girimananda sutta has some unseen power in healing the sick. In one of the discourses known as Girimananda Sutta, the Buddha talks about the causes of sickness and disease as originating from an imbalance of bile (pita), phlegm (kapha), wind (vata), from conflict of the humours, from changes of weather, from adverse condition (which here mearls faulty deportment), from devices, fi'om the result of kamma (kamma-vipaka); cold, heat, hunger, thirst, excrement, and urine. Ayurvedic medicine is prepared on the grounds of ill-balance ofthese constituents in a person. Ayurvedic medicine has a.very strong bearing on the concept of Prakurthi, which means nature (natural fo.m) of the build and constitution of the human body. Ayurvedic clinical psychology forms the clinical core of mental health counseling. According Ayurvedic medical practises, a person is dominatedon one of constitutes type (type of dosa)namely vata (vayu), pita (apo) or kapha (semha/.This is known as prakurthi pariksha. Important aspect of identification of constitute type is for diagnosis of mental diseases, because each ofconstituent type has a list ofprobable mental diseases. An important areaof expertise for many clinical psychologists is psychological assessment. Constructions of Information systems using psychological assessment in clinical psychology have a problem of effective communication because of implicit knowledge. This complicates the effective communication of clinical data to the psychologist in support of clinical psychology. The airn of the approach is to identify the influences of developing commonsense knowledge systems for psychological assessments in clinical psychology. The objectives should a) contribute to a better understanding of the transformation processes in commonsense knowledge related with concept of Prakurthi evolved by Girimananda Sutta and b) provide effective communication of data to the user in real-time machine processing in support of clinical psychology. In this paper we present a methodology to develop commonsense knowledge system in clinical psychology. At the initial stage commonsense knowledge relevant to dosa is converted into a questionnaire. Removing dependencies among the questions are modeled using principal component analysis. Classification for degre e of dasa is processed throughfuzry logic module, which is constructed on the basis of principal components" Further explanations for classified knowledge are derived by expert system technology. Evaluation of the system has shown 77% accuracy.
Development of fuzzy expert systems for Tacit knowledge modeling in strategic decision -making
(2012) Mendis, D.S.K.; Karunananda, A.S.; Samarathunga, U.
Knowledge modelling gives the intention of knowledge engineering which is applicable for managing information systems. Tacit knowledge is the key issue of knowledge modelling aspect because all knowledge is rooted in tacit knowledge. In recognizing knowledge as a new resource in gaining organizational competitiveness, knowledge management suggests a method in managing and applying knowledge for improving organizational performance. Much knowledge management research has focused on identifying, storing, and disseminating process related knowledge in an organized manner. Applying knowledge to decision making has a significant impact on organizational performance than solely processing transactions for knowledge management. This paper presents a research that incorporates modelling of tacit knowledge for strategic decision-making. Here we have used fuzzy expert system for developing an approach for modelling tacit knowledge. We primarily used fuzzy logic together with statistical technique of principal component analysis as techniques for modelling tacit domains. Tacit knowledge in Ayurvedic sub-domain of individual classification has been acquired through a questionnaire and analysed to identify the dependencies, which lead to make tacit knowledge in the particular domain. It has shown 77% accuracy in using the tacit knowledge for reasoning in the relevant domain.
Modeling of Tacit Knowledge
(2003) Mendis D.S.K.; Karunananda, A.S.; Samarathunga, U.
Tacit knowledge has always been influential in changing the directions and emphasis of explicit models of knowledge. All explicit knowledge is rooted in tacit knowledge. Due to these reasons modelling of tacit knowledge is of great interest. A research has been conducted to develop an approach to model tacit knowledge. In this research, we have used Artificial Intelligence technique of fuzzy logic for developing an approach to model tacit knowledge. We have considered domain of “Ayurvedic” medicine as a case study domain with tacit knowledge. Tacit knowledge in Ayurvedic sub-domain of individual classification has been acquired through a questionnaire and analysed to identify the dependencies, which lead to make tacit knowledge in the particular domain. In the first place analysis was done using statistical techniques of principle components and the results were not compatible with the experiences of Ayurvedic experts. As such, fuzzy logic has been used to further model the Ayurvedic subdomain. The result of the modelling of Ayurvedic domain using fuzzy logic has been compatible with the experiences of the Ayurveic experts. A framework for modelling tacit knowledge has been integrated with an expert system shell thereby enabling the development of expert systems for domains with tacit knowledge. Framework has been successfully applied for several tacit domains.

Basic Principles

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