Girimananda Sutta: Holistic Approach for development of commonsense knowledge system in clinical psychology

Abstract

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.