Velankar, Makarand R. creator author. aut http://id.loc.gov/vocabulary/relators/aut Mahalle, Parikshit N. author. aut http://id.loc.gov/vocabulary/relators/aut Shinde, Gitanjali R. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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electronic resource

access X, 92 p. 14 illus., 8 illus. in color. online resource. 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. Chapter 1: Natural and Artificial Intelligence: Overview -- Chapter 2: AI and Cognitive Computing: Machine and Human Perspective -- Chapter 3: Internet of Behavior -- Chapter 4: Rethinking Machine Learning and Deep Learning -- Chapter 5: Machine Thinking: New Paradigm Shift -- Chapter 6: Cognitive Computing -- Chapter 7: Business Cases. - Chapter 8: Conclusions. by Makarand R. Velankar, Parikshit N. Mahalle, Gitanjali R. Shinde. Computational intelligence Artificial intelligence Machine learning Computational Intelligence Artificial Intelligence Machine Learning Q342 9789819704521 https://doi.org/10.1007/978-981-97-0452-1 https://doi.org/10.1007/978-981-97-0452-1 240316 20251030111724.0 978-981-97-0452-1