Machine Learning for Decision Sciences with Case Studies in Python
S. Sumathi,Surekha Paneerselvam,Suresh V. Rajappa,L. Ashok Kumar
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Edgardo Bucciarelli (editor),Shu-Heng Chen (editor),Juan M. Corchado (editor),Javier Parra D. (editor)
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Introduction to 'Decision Economics: Minds, Machines, and their Society' In the intersection of decision science and computational intelligence lies 'Decision Economics: Minds, Machines, and their Society', a profound exploration into how decision-making proces
Before you read
In the intersection of decision science and computational intelligence lies 'Decision Economics: Minds, Machines, and their Society', a profound exploration into how decision-making processes are evolving in our rapidly advancing technological landscape. This book is part of the distinguished 'Studies in Computational Intelligence' series, offering cutting-edge insights into the symbiotic relationship between human cognition, artificial intelligence, and societal dynamics.
At the heart of 'Decision Economics' is the concept that economic and social decisions are no longer the sole province of human cognition. This book challenges traditional decision-making paradigms by elucidating how artificial intelligence and machine learning are reshaping these processes. With contributions from leading experts, it meticulously documents the integration of AI in the economic decision-making frameworks that define modern society.
The book is structured to take the reader on a journey from the foundational theories of decision economics to practical applications and implications. It begins by covering the fundamental concepts and history of decision economics, setting the stage for an intricate discussion on computational models that mimic human decision processes. Readers will find a comprehensive analysis of the algorithms and methodologies that empower machines to make decisions in complex scenarios traditionally considered exclusive to humans.
Key themes include the ethical dilemmas posed by AI in decision-making, the potential for machines to augment human decision quality, and the societal implications of shared decision-making responsibility between minds and machines. Through rigorous analysis and case studies, the book provides a lens through which the future of economic decision-making can be viewed and understood.
"The distinction between human and machine decision-making is not a boundary, but a frontier."
"In a world shared by minds and machines, the essence of every decision lies not just in logic, but in the values it serves."
'Decision Economics: Minds, Machines, and their Society' is a pivotal resource for anyone interested in the future of decision-making. In an era where technology is entrenched in daily life, understanding the complexities of AI-enhanced decision-making is crucial. This book equips economists, policymakers, technologists, and academics with knowledge that is instrumental in navigating and leveraging the potential of combined human-machine cognition.
The book is not only significant for its scholarly contributions but also for its practical implications. It raises pertinent questions about the future landscape of work, ethical AI deployment, and the sustainability of automated systems in governance and economics. By offering a holistic overview of these challenges and opportunities, it stands as an essential read for those steering the course of technology in society.
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