Semantic model for artificial intelligence based on molecular computing

In this work, a new DNA-based semantic model is proposed and described theoretically. This model, referred to as semantic model based on molecular computing (SMC) has the structure of a graph formed by the set of all attribute-value pairs contained in the set of represented objects, plus a tag node...

全面介紹

Saved in:
書目詳細資料
Main Authors: Tsuboi, Yusei, Ibrahim, Zuwairie, Ono, Osamu
其他作者: Negoita , MG
格式: Book Section
語言:English
出版: Springer Berlin / Heidelberg 2004
主題:
在線閱讀:http://eprints.utm.my/id/eprint/9838/1/ZuwairieIbrahim2004_semantic_model_for_artificial_intelligence.pdf
http://eprints.utm.my/id/eprint/9838/
http://dx.doi.org/10.1007/b100909
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:In this work, a new DNA-based semantic model is proposed and described theoretically. This model, referred to as semantic model based on molecular computing (SMC) has the structure of a graph formed by the set of all attribute-value pairs contained in the set of represented objects, plus a tag node for each object. Attribute layers composed of attribute values then line up. Each path in the network, from an initial object-representing tag node to a terminal node represents the object named on the tag. Application of the model to a reasoning system was proposed, via virtual DNA operation. On input, object-representing dsDNAs will be formed via parallel self-assembly, from encoded ssDNAs representing (value, attribute)-pairs (nodes), as directed by ssDNA splinting strands representing relations (edges) in the network. The computational complexity of the implementation is estimated via simple simulation, which indicates the advantage of the approach over a simple sequential model.