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Overview: This book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and Artificial Intelligence (AI) along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. Cognitive computing has grabbed the attention of researchers recently. It deals with the human mind and thinking to make appropriate decisions considering human psychology. The current AI models are mainly based on data-driven models and require huge data to train the models. The issues that need to be tackled by AI models include fairness, deviation from intended objectives, ethical principles, sensitive information and security, performance disparity, privacy, and copyrights. Challenge is to align the AI models to perform in the right manner especially to the critical decision-making systems such as legal or medical applications. An augmented intelligent model with embedded cognitive computing and machine thinking paradigm can be a possible approach to tackle the current limitations of AI and advance the research in computing domain. Machine thinking is the new paradigm shift proposed in this book. This book is targeted at academicians, researchers, students, and professionals who belong to disciplines which involve intelligent computing and modeling human thinking. It provides possible multidisciplinary research directions including social psychology, Artificial Intelligence, human–computer interaction (HCI), and cognition for applications in various domains.
Genre: Non-Fiction > Tech & Devices
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