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- W4293083496 abstract "Consciousness is the state of ability to see, hear, and feel along with the state of realizing and noticing. Intelligence generates in the mind through consciousness or thoughts. Consciousness refers to thinking, decision-making, awareness, alert state of mind, and internal talk. Concept of arousal of thoughts and hence existence of consciousness has been experimented by developing the computational models of consciousness by research fraternity. This paper elaborates the process of consciousness generated in mind. The basis for the process is considered from the Buddhists literature Abhidhamma. Various actions are occurred in the mind while generating the consciousness. According to Buddhist psychology literature Abhidhamma, consciousness is classified into more types than available in cognitive science or psychology or neuroscience. There are 89 types of consciousness. These are broadly classified into unwholesome, wholesome, resultant, and functional. Also, there are 52 mental states which are classified into three types: ethically variable, unwholesome, and beautiful. In the proposed computational model of consciousness, actions of generating consciousness are implemented which are identified as classified thoughts and mental state or mental factor. Non-axiomatic logic is applied for generating thoughts and hence consciousness. Convolutional neural network is used for classifying generated thoughts. Experimental results are performed by collecting data from people of different ages and professions. For analyzing the results, accuracy, sensitivity, specificity, and error rate statistical evaluation parameters are used. Performance of the computational model provides 97.03% accurate results for classification of thoughts and 93.39% accuracy for identifying mental states for generated thoughts." @default.
- W4293083496 created "2022-08-26" @default.
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- W4293083496 date "2022-06-10" @default.
- W4293083496 modified "2023-09-26" @default.
- W4293083496 title "GRAB Thought Model of Consciousness for Classifying Thoughts and Identifying Mental States" @default.
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- W4293083496 doi "https://doi.org/10.1007/978-981-19-0098-3_50" @default.
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