TY - GEN
T1 - Cognitive Artificial Intelligence Computing Modeling Process in Meta Cognitive Architecture Carina
AU - Bhimineni, Ojaswi
AU - Abhijith, Geda Sai Venkata
AU - Prabhu, Srikanth
N1 - Publisher Copyright:
© 2022, Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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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U2 - 10.1007/978-981-19-1166-8_5
DO - 10.1007/978-981-19-1166-8_5
M3 - Conference contribution
AN - SCOPUS:85126922341
SN - 9789811911651
T3 - Communications in Computer and Information Science
SP - 53
EP - 61
BT - Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers
A2 - Pokhrel, Shiva Raj
A2 - Yu, Min
A2 - Li, Gang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 12th International Conference on Applications and Technologies in Information Security, ATIS 2021
Y2 - 16 December 2021 through 17 December 2021
ER -