The Research on Relative Knowledge Distances and Their Cognitive Features
Considering that existing knowledge distances fail to include cognitive differences between knowledge and correlations among cognitive standpoints of intelligent agents, this paper first explores the notion of relative knowledge distances in light of relative cognitive principles. Then, under the co...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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KeAi Communications Co., Ltd.
2023-06-01
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Series: | International Journal of Cognitive Computing in Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666307423000141 |
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author | Kanchao Lian Tao Wang Baoli Wang Min Wang Weihua Huang Jie Yang |
author_facet | Kanchao Lian Tao Wang Baoli Wang Min Wang Weihua Huang Jie Yang |
author_sort | Kanchao Lian |
collection | DOAJ |
description | Considering that existing knowledge distances fail to include cognitive differences between knowledge and correlations among cognitive standpoints of intelligent agents, this paper first explores the notion of relative knowledge distances in light of relative cognitive principles. Then, under the context of precise and fuzzy settings, this paper depicts the transformation difficulty between any two knowledge given the condition of specific knowledge, and further proves the newly owned features due to the increase of relative knowledge distances and the refinement of conditional knowledge granularities, which can well reflect progressive features of humans’ multi-granularity cognition. Meanwhile, this paper analyzes the difference between absolute knowledge and relative knowledge distances in the structural features of hierarchical clustering. At last, to model and simulate humans’ conditional cognitive features, this paper designs a feature selection algorithm based on the proposed relative knowledge distances to demonstrate the effect of cognitive standpoints and paths on different cognition such as strength, hold and weakness. |
first_indexed | 2024-03-08T19:58:43Z |
format | Article |
id | doaj.art-fc2334d7299c415ca66be6f69927c817 |
institution | Directory Open Access Journal |
issn | 2666-3074 |
language | English |
last_indexed | 2024-03-08T19:58:43Z |
publishDate | 2023-06-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | International Journal of Cognitive Computing in Engineering |
spelling | doaj.art-fc2334d7299c415ca66be6f69927c8172023-12-24T04:46:38ZengKeAi Communications Co., Ltd.International Journal of Cognitive Computing in Engineering2666-30742023-06-014135148The Research on Relative Knowledge Distances and Their Cognitive FeaturesKanchao Lian0Tao Wang1Baoli Wang2Min Wang3Weihua Huang4Jie Yang5School of Mathematics and Information Technology, Yuncheng University, Yuncheng 044000, China; School of Mathematics and Statistics, Taiyuan Normal University, Jinzhong 030619, ChinaSchool of Mathematics and Statistics, Taiyuan Normal University, Jinzhong 030619, ChinaSchool of Mathematics and Information Technology, Yuncheng University, Yuncheng 044000, China; School of Mathematics and Statistics, Taiyuan Normal University, Jinzhong 030619, China; Corresponding Author.IQ-optimize Software AG, Nordrhein-Westfalen 45721, GermanySchool of Artificial Intelligence, Wenshan University, Wenshan 663000, ChinaSchool of Physics and Electronic Science, Zunyi Normal University, Zunyi 563000, ChinaConsidering that existing knowledge distances fail to include cognitive differences between knowledge and correlations among cognitive standpoints of intelligent agents, this paper first explores the notion of relative knowledge distances in light of relative cognitive principles. Then, under the context of precise and fuzzy settings, this paper depicts the transformation difficulty between any two knowledge given the condition of specific knowledge, and further proves the newly owned features due to the increase of relative knowledge distances and the refinement of conditional knowledge granularities, which can well reflect progressive features of humans’ multi-granularity cognition. Meanwhile, this paper analyzes the difference between absolute knowledge and relative knowledge distances in the structural features of hierarchical clustering. At last, to model and simulate humans’ conditional cognitive features, this paper designs a feature selection algorithm based on the proposed relative knowledge distances to demonstrate the effect of cognitive standpoints and paths on different cognition such as strength, hold and weakness.http://www.sciencedirect.com/science/article/pii/S2666307423000141Granular computingKnowledge distanceRelative knowledge distanceFuzzy relative knowledge distanceRelative cognitive principles |
spellingShingle | Kanchao Lian Tao Wang Baoli Wang Min Wang Weihua Huang Jie Yang The Research on Relative Knowledge Distances and Their Cognitive Features International Journal of Cognitive Computing in Engineering Granular computing Knowledge distance Relative knowledge distance Fuzzy relative knowledge distance Relative cognitive principles |
title | The Research on Relative Knowledge Distances and Their Cognitive Features |
title_full | The Research on Relative Knowledge Distances and Their Cognitive Features |
title_fullStr | The Research on Relative Knowledge Distances and Their Cognitive Features |
title_full_unstemmed | The Research on Relative Knowledge Distances and Their Cognitive Features |
title_short | The Research on Relative Knowledge Distances and Their Cognitive Features |
title_sort | research on relative knowledge distances and their cognitive features |
topic | Granular computing Knowledge distance Relative knowledge distance Fuzzy relative knowledge distance Relative cognitive principles |
url | http://www.sciencedirect.com/science/article/pii/S2666307423000141 |
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