Abstract
Human in an environment sees and then perceives objects of interest before he/she tries to find the correlation and association between the various objects in the region of their interest (ROI). By doing so, the agent here, the human develops an understanding of the environment, may it be static and certain or dynamic and uncertain. This paper simulates such an ability of humans, vital to his/her understanding, after being exposed to a visual stimulus. Filtration or selective attention happens then followed by clustering based on identified associations. These clusters form the basis of understanding and stored as Concept maps inside the long-term memory. In order to simulate this feature, various techniques and clustering algorithms exist. This work is a cognitive architectural approach to tackle the clustering problem, as it is a more natural and intuitive approach followed by humans. The ACT-R architecture has been chosen for the task.
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References
B. Evertt, S. Landau, M. Leese: Cluster analysis (2001)
A. Jain, M Murty and P Flynn: Data Clustering: A review, Vol. 31, No. 3, pp. 264–323 ACM Comput. Surv. (1999)
Rui Xu: Survey of Clustering algorithms: Transactions on Neural Networks, IEEE Vol.16, No 3, pp. 645–678, doi:10.1109/TNN.2005.845141 (2005)
Meenakhi Sahu, Hima Bindu M.: Cognitive Model of Sentence Understanding: ICRTCSE, IEEE Conference, pp. 307–312, ISBN - 978-81-8487-391-7, Narosa, CUB, Patna (2014)
Yingxu Wang, Ying Wang: Cognitive Models of the Brain: ICCI’02, International Conference on Cognitive Informatics, IEEE, ISSN – 0-7695-1724-2/02 (2002)
http://www.trans-cranial.com/local/manuals/cortical_functions_ref_v1_0_pdf.pdf-24
Meenakhi Sahu, Hima Bindu Maringanti: Brain Functional Model of Natural Language Understanding: IJAER, Vol. 10, Number 13, pp. 33283–33286, ISSN - 0973-4562 (2015)
Meenakhi Sahu, M Hima Bindu: Multi-Modal Perception Model of Sentence Comprehension: NCCTC, pp. 82–86, ISBN - 978-3-642-24819-6 (2014)
Nina F. Dronkers, David P. Wilkins, Robert D. Van Valin Jr., Brenda B. Redfern, Jeri J. Jaeger: Lesion Analysis of the Brain Areas Involved in Language Comprehension: Cognition 92, 145–177, doi:10.1016/j.cognition.2003.11.002, Elsevier (2004)
And U. Turken, Nina F. Dronkers: The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses: Frontiers in Systems Neuroscience, doi:10.3389/fnsys.2011.00001 (2011)
Mark D’Esposito: From Cognitive to Neural Models of Working Memory: Phil. Trans. R. Soc. B 2007 362, doi:10.1098/rstb.2007.2086 (2007)
Angela D. Friederici: The Brain Basis of Language Processing from Structure to Function: doi:10.1152/physrev.00006.2011
Mazahir T. Hasan, Samuel Hernández-González, Godwin Dogbevia, Mario Treviño, Ilaria Bertocchi, Agnès Gruart, José M. Delgado-GarcÃa: Role of Motor Cortex NMDA Receptors in Learning-Dependent Synaptic Plasticity of Behaving Mice: Nature Communications, doi:10.1038/ncomms3258 (2013)
Alan Baddeley, Graham J. Hitch: Working Memory: doi:10.4249, Scholarpedia, 3015 (2010)
http://www.sciencedaily.com, ACT-R Environment Manual Working Draft Dan Bothell; http://act-r.psy.cmu.edu, ACT-R 6.0 Reference Manual Working Draft Dan Bothell; http://act-r.psy.cmu.edu
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Sahu, M., Maringanti, H.B. (2017). Cognitive Architectural Model for Solving Clustering Problem. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_70
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