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...
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| Format: | Book Section |
| Language: | English |
| Published: |
Springer Berlin / Heidelberg
2004
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| Online Access: | http://eprints.utm.my/9838/ http://eprints.utm.my/9838/1/ZuwairieIbrahim2004_semantic_model_for_artificial_intelligence.pdf |
| _version_ | 1848891951332458496 |
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| author | Tsuboi, Yusei Ibrahim, Zuwairie Ono, Osamu |
| author2 | Negoita , MG |
| author_facet | Negoita , MG Tsuboi, Yusei Ibrahim, Zuwairie Ono, Osamu |
| author_sort | Tsuboi, Yusei |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T21:06:07Z |
| format | Book Section |
| id | utm-9838 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:06:07Z |
| publishDate | 2004 |
| publisher | Springer Berlin / Heidelberg |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-98382011-03-09T05:00:09Z http://eprints.utm.my/9838/ Semantic model for artificial intelligence based on molecular computing Tsuboi, Yusei Ibrahim, Zuwairie Ono, Osamu QA75 Electronic computers. Computer science 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. Springer Berlin / Heidelberg Negoita , MG Howlett , RJ Jain , LC 2004-10-14 Book Section PeerReviewed application/pdf en http://eprints.utm.my/9838/1/ZuwairieIbrahim2004_semantic_model_for_artificial_intelligence.pdf Tsuboi, Yusei and Ibrahim, Zuwairie and Ono, Osamu (2004) Semantic model for artificial intelligence based on molecular computing. In: Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science, 3213 . Springer Berlin / Heidelberg, Germany, pp. 32-39. ISBN 978-3-540-23318-3 http://dx.doi.org/10.1007/b100909 doi:10.1007/b100909 |
| spellingShingle | QA75 Electronic computers. Computer science Tsuboi, Yusei Ibrahim, Zuwairie Ono, Osamu Semantic model for artificial intelligence based on molecular computing |
| title | Semantic model for artificial intelligence based on molecular computing |
| title_full | Semantic model for artificial intelligence based on molecular computing |
| title_fullStr | Semantic model for artificial intelligence based on molecular computing |
| title_full_unstemmed | Semantic model for artificial intelligence based on molecular computing |
| title_short | Semantic model for artificial intelligence based on molecular computing |
| title_sort | semantic model for artificial intelligence based on molecular computing |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/9838/ http://eprints.utm.my/9838/ http://eprints.utm.my/9838/ http://eprints.utm.my/9838/1/ZuwairieIbrahim2004_semantic_model_for_artificial_intelligence.pdf |