Cognitive Computing for Machine Thinking
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Beschreibung
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 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. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
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 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. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
Provides illustratative examples for better understanding and applicability Elaborates on the need of augmented intelligence with human cognition Provides a strong foundation for the readers regarding the AI models, their advantages and limitations
Autor*in
Makarand R. Velankar
Themen in »Cognitive Computing for Machine Thinking«
Artificial Intelligence Model-Centric Data-Centric AI Cognitive Computing Augmented Intelligence Behavioral Analysis Machine Learning Deep Learning