Reasoning and Learning About Past Temporal Knowledge in Connectionist Models

摘要

The integration of logic-based inference systems and connectionist learning architectures may lead to the construction of semantically sound cognitive models in artificial intelligence. The use of hybrid systems has shown promising results as regards the