(17) Design and Implementation of Concept Learning System using Concurrent Logic Language KLIC

For an advanced knowledge information system it is important and useful to install knowledge base system with the learning ability. Expressing 'knowledge' and 'concept' using 'predicates', we designed and implemented an experimental logic database system CONCEPT-LR using the concurrent logic language KLIC developed at ICOT. CONCEPT-LR is a system to learn new knowledge and concepts through interaction with a user. CONCEPT-LR consists of four software modules, 'constraint knowledge acquisition module', 'learning module', 'knowledge base module', and 'user interface module'. The constraint knowledge acquisition module obtains domain knowledge from a user. In the learning module, there have been implemented two concept learning methods based on predicate logic, inductive learning and learning by analogy, and higher-order learning is under development. A user of CONCEPT-LR can select one of them when the system is initiated to learn new concepts. The knowledge database module consists of various databases like concept database, domain knowledge database, analogical knowledge database, etc. The user interface module supports interaction between the system and a user. The system has some concurrency features, since it is implemented by the concurrent logic language KLIC.