Abstract
Artificial Intelligence (AI) is computer intelligence that manifests itself in “cognitive” capabilities that people identify with other brains. AI employs various technologies including Deep Learning, Machine Learning and Natural Language Processing. The self-learning systems are utilizing pattern recognition, natural language processing and data mining to replicate the person's brain functions are called cognitive computing. Cloud-based communication has bolstered this by delivering vital communication services. However, due to restricted capacities and a need for low latency, high reliability, and a good user experience, providing a cloud-based environment and intensive data processing algorithms are insufficient. Cognitive computing is considered a branch of computer science that simulates human cognitive processes. As a result, when cognitive science skills are combined with communications and existing systems may be improved, resulting in higher accuracy and lower latency. We have gone through cognition-based communications in depth in this study, which blends smart communication technologies and intelligent computing based on AI. Following is an overview of the cognitive computing and its evolution. Then, combining networking, analytics, and cloud computing, a systematic and comprehensive framework for using cognition in communication is provided.
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Amsini, Rani, U., Rai, A. (2023). Artificial Cognitive Computing for Smart Communications, 5G and Beyond. In: Rai, A., Kumar Singh, D., Sehgal, A., Cengiz, K. (eds) Paradigms of Smart and Intelligent Communication, 5G and Beyond. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-99-0109-8_1
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