Publication Date:
2013-08-31
Description:
Similarity networks are a powerful form of knowledge representation that are useful for many artificial intelligence applications. Similarity networks are used in applications ranging from information analysis and case based reasoning to machine learning and linking symbolic to neural processing. Strengths of similarity networks include simple construction, intuitive object storage, and flexible retrieval techniques that facilitate inferencing. Therefore, similarity networks provide great potential for space applications.
Keywords:
COMPUTER SYSTEMS
Type:
NASA. Marshall Space Flight Center, Third Conference on Artificial Intelligence for Space Applications, Part 1; p 279-284
Format:
application/pdf
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