Cognitive Engineering for Next Generation Computing. Группа авторов

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Cognitive Engineering for Next Generation Computing - Группа авторов


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they involve reasoning, understanding complicated emotions. Cognitive computing had made tremendous progress and also exceeded the conventional machine learning. Internet of Things is one technology that had made very good progress and helping the people in many ways and now IoT is embedded with cognitive computing developing a smarter Internet of Things systems assisting the humans in many ways like providing vital suggestions and helping in the decision making [16].

      Although it was stated that the foundation for cognitive computing is artificial intelligence there is a lot of difference between the two.

      Artificial Intelligence mimics the human intelligence in machines. This process comprises making the machines learn constantly with the changing data, making sense of the information, and taking decisions including the self-corrections whenever needed.

      Human beings use the senses to gather information about the surrounding environment and process that information using the brain to know about the environment. In this context, we can define that artificial intelligence can also include replicating the human senses such as hearing, smelling, touching, seeing, and tasting. It also includes simulating the learning process and this is made possible in the machines using machine learning and deep learning. Last but not least is human responses achieved through the robotics [18].

      The cognitive computing is used to understand and simulate the reasoning and human behavior. Cognitive Computing assists humans to take better decisions in their respective fields. Their applications are fraud detection, face and emotion detection, sentiment analysis, risk analysis, and speech recognition [17].

      The main focus of cognitive computing includes

      1 To solve complex problems by mimicking human behavior and reasoning.

      2 Trying to replicate the humans in solving the problems

      3 Assists the human in taking decisions and do not replace humans at all.

      Artificial Intelligence focus includes

      1 To solve complex problems it augments human thinking, it tries to provide accurate results.

      2 It tries to find new methods to solve problems which can potentially be superior to humans

      3 The main intent of AI is to solve the problem utilizing the best algorithm and not simply mimicking the human brain.

      4 The human role is minimized in taking the decisions and artificial intelligence takes over the responsibility.

      1.5.1 Infrastructure and Deployment Modalities

      The system needs to meet the demands of the industries as they continuously grow and the infrastructure should be flexible to carry on the applications required for the industry. A large amount of data is required to be processed and managed; this data consists of both public and private data. Cloud infrastructure services are required and constant support should be given, providing a highly parallel and distributed computing environment.

      Data is the most important point where cognitive computing revolves around, so the data collection, accession, and maintaining it must have a very important role. A lot of essential services are required for adding the data and also using it. To ingest the data utmost care should be taken to check the source from which the data is originated. As a result, there is a requirement that data should be classified based on the origin of data, as it is required to check the data source was trusted


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