TY - JFULL AU - GuoQiang Peng and Yi Sun PY - 2008/5/ TI - A General Model for Acquiring Knowledge T2 - International Journal of Computer and Information Engineering SP - 1128 EP - 1133 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/10380 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 16, 2008 N2 - In this paper, based on the work in [1], we further give a general model for acquiring knowledge, which first focuses on the research of how and when things involved in problems are made then describes the goals, the energy and the time to give an optimum model to decide how many related things are supposed to be involved in. Finally, we acquire knowledge from this model in which there are the attributes, actions and connections of the things involved at the time when they are born and the time in their life. This model not only improves AI theories, but also surely brings the effectiveness and accuracy for AI system because systems are given more knowledge when reasoning or computing is used to bring about results. ER -