Building a large-scale knowledge base of engineering common sense is indispensable for the development of intelligent CAD systems. At The University of Tokyo, we have started a project to build a knowledge base of physical features in the domain of mechanical design. A physical feature is a qualitative representation of a physical phenomenon and related attributes. The physical feature database...

Research in cognitive psychology demonstrated that human knowledge is mostly stored by the connections between neurons rather than in the nervous cells themselves. The attempt to model such an idea leads to an interactive network, where information is represented by some set of neuromimetic descriptors. These descriptors can be either objectual or attributive, i.e. specifying an object or a pro...

in this research, the viewpoint of mīzā mahdī iṣfahānī, as the founder of tafkīk school (separatism), concerning the most important epistemological issues like the quiddity of cognition (or episteme), types of cognition, truth, and justification of knowledge (ma‘rifa) are studied. given the fact that epistemology has not been regarded as an independent science in the muslim world, but the musli...

Although chatbots have been very popular in recent years, they still have some serious weaknesses which limit the scope of their applications. One major weakness is that they cannot learn new knowledge during the conversation process, i.e., their knowledge is fixed beforehand and cannot be expanded or updated during conversation. In this paper, we propose to build a general knowledge learning e...

dermatomyositis (dm) is a rare idiopathic inflammatory myopathy with characteristic skin lesions. case series have shown an association between dermatomyositis and malignancy. malignancy has been found in 15-25% of the adult patients with dermatomyositis. a 50-year-old new case of breast cancer, was admitted with muscle weakness and inability to walk. physical examination revealed fever, perior...

Both machine learning and knowledge elicitation from human experts have unique strengths and weaknesses. Man-machine collaboration for knowledge acquisition allows both knowledge acquisition techniques to be employed handin-hand. The strengths of each can alleviate the other’s weaknesses. This has the potential to both reduce the time taken to develop an expert system while increasing the quali...