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{ "item_title" : "Handbook of Artificial Intelligence and Machine Learning in Decision Making", "item_author" : [" Nicholas J. Daras", "Antonios Fytopoulos", "Panos M. Pardalos "], "item_description" : "This volume presents a collection of invited chapters covering a broad range of perspectives on AI and decision-making. The scope is broad, and the potential impact is expected to be broader. Therefore, this volume represents only the beginning of a timely exploration of decision-making processes across thousands of applications that AI is expected to influence, including engineering, healthcare, management, human behavior, and business. This handbook includes several applications of decision-making based on artificial intelligence and machine learning techniques. This book also explores both new methods and well-established techniques in several topics related to AI and decision-making. This book is suitable for practitioners and researchers interested in artificial intelligence, machine learning, decision-making, and related topics. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/224/826/3032248264_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Handbook of Artificial Intelligence and Machine Learning in Decision Making|Nicholas J. Daras

Handbook of Artificial Intelligence and Machine Learning in Decision Making

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Overview

This volume presents a collection of invited chapters covering a broad range of perspectives on AI and decision-making. The scope is broad, and the potential impact is expected to be broader. Therefore, this volume represents only the beginning of a timely exploration of decision-making processes across thousands of applications that AI is expected to influence, including engineering, healthcare, management, human behavior, and business.

This handbook includes several applications of decision-making based on artificial intelligence and machine learning techniques. This book also explores both new methods and well-established techniques in several topics related to AI and decision-making.

This book is suitable for practitioners and researchers interested in artificial intelligence, machine learning, decision-making, and related topics.

This item is Non-Returnable

Details

  • ISBN-13: 9783032248268
  • ISBN-10: 3032248264
  • Publisher: Springer
  • Publish Date: January 2027
  • Page Count: 286

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