Abstract
In this paper, Cognitive Artificial Intelligence computing modeling process in Meta cognitive architecture CARINA is implemented. Basically in cognitive sciences, cognitive modeling has become fundamental tool to process. Based on the usage of cognitive architectures, cognitive modeling is designed. For the artificial intelligent agents, CARNIA is most widely used and this is a Meta cognitive architecture which is derived from the Meta cognitive Meta model. This Meta cognitive Meta model is based on the Meta cognitive mechanism which will monitor and control the Meta level. Initially, the cognitive task is selected. Next, the information is described for the cognitive task. By using natural language, the cognitive task is described. GOMS also describes the cognitive task. For the obtained data, decision functions and cognitive functions are described. By using artificial intelligence, the data is computed. Now, the data is transferred from Cognitive Model form GOMS to M + + Language. Now, the data will be performed by using cognitive model in CARNIA. At last testing and maintenance will be done very effectively. From results it can observe that accuracy, cost, errors and observation time gives effective result.
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Bhimineni, O., Abhijith, G.S.V., Prabhu, S. (2022). Cognitive Artificial Intelligence Computing Modeling Process in Meta Cognitive Architecture Carina. In: Pokhrel, S.R., Yu, M., Li, G. (eds) Applications and Techniques in Information Security. ATIS 2021. Communications in Computer and Information Science, vol 1554. Springer, Singapore. https://doi.org/10.1007/978-981-19-1166-8_5
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DOI: https://doi.org/10.1007/978-981-19-1166-8_5
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