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| Fig. 1: An illustration of ES extraction. Two three-dimensional sequences specified by tuples <#1, #2, #3> and <#8, #7, #5> are compared to validate if there is a metarelation between the three-dimensional sequences. Because a subsequence of one three-dimensional sequence shown by a blue, a red and a black box closely resembles a subsequence of the other 3d sequence, they are likely to be considered to have an analogous metarelation. | Fig. 1: An illustration of ES extraction. Two three-dimensional sequences specified by tuples <#1, #2, #3> and <#8, #7, #5> are compared to validate if there is a metarelation between the three-dimensional sequences. Because a subsequence of one three-dimensional sequence shown by a blue, a red and a black box closely resembles a subsequence of the other 3d sequence, they are likely to be considered to have an analogous metarelation. | ||
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| In ES extraction, an analogous metarelation between two multidimensional sequences is considered found based on the comparisons of their subsequences. The implementation of such comparisons allows for finding relations between asynchronous sequences. Therefore, ES extraction can be applicable to data that are “asynchronous” and “the attribute of each sequence is unknown.” A task using such data can be a task to find metarelations between the brainwaves of a human and those of a chimpanzee. Such data are usually asynchronous, | In ES extraction, an analogous metarelation between two multidimensional sequences is considered found based on the comparisons of their subsequences. The implementation of such comparisons allows for finding relations between asynchronous sequences. Therefore, ES extraction can be applicable to data that are “asynchronous” and “the attribute of each sequence is unknown.” A task using such data can be a task to find metarelations between the brainwaves of a human and those of a chimpanzee. Such data are usually asynchronous, | ||
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| * Hiroshi, Yamakawa. “Hippocampal Formation Mechanism Will Inspire Frame Generation for Building an Artificial General Intelligence’’. In Proc. of the International Conference on Artificial General Intelligence (AGI), 2012. pp.362--371. | * Hiroshi, Yamakawa. “Hippocampal Formation Mechanism Will Inspire Frame Generation for Building an Artificial General Intelligence’’. In Proc. of the International Conference on Artificial General Intelligence (AGI), 2012. pp.362--371. | ||
| - | === 連絡先 | + | === Contact |
| - | 佐藤聖也(AIST) , | + | Seiya Sato (Tokyo Denki University) , |