Human judgment in diagnosing problem behavior in horses using knowledge-based system application
Abd Ghani, Kartini
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Judgment and decision making happens in everyday lives. However, the information used in making judgment is seldom perfect and contains a degree of error. The relationship between variables, cues and information bits in the environment tend to lead to other things occurring with different likelihood. This thesis focuses on the process of human judgment based on Brunswick’s theory and the Lens Model in diagnosing behavior problems in horses using knowledge-based system application. The development of the system using LPA Win-Prolog in predicting behavior problem in horses can help increase the awareness of users in noticing certain cues and signals from the environment as well as increase the accuracy of judgment. It is hoped that with the development of the system and focusing on behavior problems in horses, it can educate people on the importance of noticing cues to the welfare of animals.