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Volume 18, Issue 3 (Autumn 2016)
Advances in Cognitive Sciences 2016, 18(3): 40-55 |
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Eskandari H, Helmi S. The Effect of Torrance Creative Components on Reconstructing Knowledge By Multiply-constrained Semantic Search in the Remote Associates Test. Advances in Cognitive Sciences 2016; 18 (3) :40-55
URL: http://icssjournal.ir/article-1-503-en.html
URL: http://icssjournal.ir/article-1-503-en.html
1- Department of Psychology, Allameh Tabataba’i University, Tehran, Iran.
2- Clinical Psychology MEng in Computer Software Engineering, Tehran, Iran.
2- Clinical Psychology MEng in Computer Software Engineering, Tehran, Iran.
Abstract: (2633 Views)
Objective: Many important problems require consideration of multiple constraints to find the best answer or course of action from a huge set of potential answers. The aim of this paper is to present some search algorithm as well as to determine the way in which the information retrieval processes interact within the semantic memory to produce an acceptable answer to these problems.
Method: In this study, the method of hierarchical cluster analysis was used to find the distinctive clusters of concepts based on the semantic distance among concepts in Remote Associates Test. To determine the information retrieval pattern in each cluster, the regression analysis was used.
Results: The findings show that a local search is facilitated by just one cue at a time in semantic memory network to reach a solution. If the search is unable to find the answer in the fetched cluster, the two-stage search strategy is launched to switch the cluster in order to find an appropriate solution. Moreover, in this study the implementation for a given algorithm was explained by the cognitive processes involved in retrieving, organizing and integrating information.
Conclusion: Although the local search algorithm makes it possible to find the right solution, individual differences in cognitive processes for retrieving, organizing and integrating information from memory leads to differences among individuals’ solutions as well as their evolutionary epistemology.
Method: In this study, the method of hierarchical cluster analysis was used to find the distinctive clusters of concepts based on the semantic distance among concepts in Remote Associates Test. To determine the information retrieval pattern in each cluster, the regression analysis was used.
Results: The findings show that a local search is facilitated by just one cue at a time in semantic memory network to reach a solution. If the search is unable to find the answer in the fetched cluster, the two-stage search strategy is launched to switch the cluster in order to find an appropriate solution. Moreover, in this study the implementation for a given algorithm was explained by the cognitive processes involved in retrieving, organizing and integrating information.
Conclusion: Although the local search algorithm makes it possible to find the right solution, individual differences in cognitive processes for retrieving, organizing and integrating information from memory leads to differences among individuals’ solutions as well as their evolutionary epistemology.
Keywords: Multiply-constrained Problems, Search Algorithm, Semantic Retrieval, Remote Associates Test
Type of Study: Research |
Subject:
Special
Received: 2016/02/26 | Accepted: 2017/05/28 | Published: 2017/09/29
Received: 2016/02/26 | Accepted: 2017/05/28 | Published: 2017/09/29
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