Robust Initialization for Reasoning Procedures in a Hierarchical Heterogeneous Knowledge-Base
This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse distributed memory (SDM) and a semantic level realized by a knowledgerepresentation scheme based on the Fuzzy Petri Net theory. The levels are interconnected with forward and backward connections that are used for the robust initialization of multi-reasoning procedures (inheritance, recognition and intersection search) at the semantic level. Multi-reasoning supports reasoning for an unknown concept (i.e., a concept that is not defined at the semantic level), parallel reasoning for more than one concept that is obtained by forward connections from the associative level and used for multiple initialization, and the chaining of associative information retrieval and the reasoning process using forward and backward connections. An example of the initialization of the multiinheritance procedure is given.
hierarchical knowledge-base associative level semantic level Fuzzy Petri Net reasoning inheritance.
Slobodan Ribaric Darijan Marcetic Zongmin Ma
Faculty of Electrical Engineering and Computing University of Zagreb Zagreb, Croatia College of Information Science & Engineering Northeastern University Shenyang, China
国际会议
上海
英文
1454-1460
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）