Integrating Rules and Connectionism for Robust Reasoning
نویسندگان
چکیده
A connectionist model for robust reasoning, CONSYDERR, is proposed to account for some common reasoning patterns found in commonsense reasoning and to remedy the brittleness problem. A dual representational scheme is devised, which utilizes both localist representation and distributed representation with features. We explore the synergy resulted from the interaction between these two types of representations, which helps to deal with problems such as partial information, no exact match, property inheritance, rule interaction, etc. Because of this, the CONSYDERR system is capable of accounting for many diicult patterns in commonsense reasoning. This work also shows that connectionist models of reasoning are not just an \implementation" of their symbolic counterparts, but better computational models of common sense reasoning, taking into consideration of the approximate, evidential and adaptive nature of reasoning, and accounting for the spontaneity and parallelism in reasoning processes.
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Integrating rules and connectionism for robust commonsense reasoning
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