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  • Conference proceedings
  • © 2021

Decision Economics: Minds, Machines, and their Society

  • Provides a timely consideration of major concepts by which Decision Economics is understood as an emerging, novel discipline, such as the study of agents' behaviour and their interactions under uncertainty, in order to discuss, inter alia, whether standard economics can be considered a science or even an academic pursuit.

  • Illustrates the potential, importance, and breadth of algorithmic social science research in this novel discipline, bringing together cognitive sciences, economics, and mathematics to analyse the decision-making, both normatively and positively, and the related market functioning within the ecosystem.

  • Includes contributions by renowned scientists, scholars, and leaders of research, offering new ideas that help launch into the economic theory, methodology, and analysis in the 21st Century.

Part of the book series: Studies in Computational Intelligence (SCI, volume 990)

Conference series link(s): DECON: The International Conference on Decision Economics

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Conference proceedings info: DECON 2020.

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  • ISBN: 978-3-030-75583-6
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Table of contents (25 papers)

  1. Front Matter

    Pages i-xxiv
  2. Part I: Turing Test: Computable Humanities

    1. Front Matter

      Pages 1-1
    2. Challenges in the Study of Intelligent Machines and Reverse Turing Test on Socio-Economic Decisions

      • Carmen Pagliari, Edgardo Bucciarelli, Shu-Heng Chen
      Pages 12-23
  3. Part II: Minds: Cognitive, Behavioural, and Experimental Perspectives

    1. Front Matter

      Pages 25-25
  4. Part III: Machine Learning: Application and Analysis

    1. Front Matter

      Pages 119-119
    2. Portfolio Management via Empirical Asset Pricing Powered by Machine Learning

      • Vittorio Carlei, Stefano Terzi, Federico Giordani, Gaetano Adamo
      Pages 121-129
    3. Machine Learning and Financial Ratios as an Alternative to Altman’s Z-Score Bankruptcy Model in Spanish Companies

      • María E. Pérez-Pons, Javier Parra, Guillermo Hernández, Jorge González, Juan M. Corchado
      Pages 130-139
    4. Research on Burst Terms Detection Based on Entropy Weight Method

      • Guo-he Feng, Yong-xin Kong, Xing-qing Mo
      Pages 140-150
    5. Stacking Generalization via Machine Learning for Trend Detection in Financial Time Series

      • Vittorio Carlei, Gaetano Adamo, Oksana Ustenko, Valeriya Barybina
      Pages 159-166

Other Volumes

  1. Decision Economics: Minds, Machines, and their Society

About this book

This book is the result of a multi‐year research project led and sponsored by the University of Chieti‐ Pescara, National Chengchi University, University of Salamanca, and Osaka University. It is the fifth volume to emerge from that international project, held under the aegis of the United Nations Academic Impact in 2020. All the essays in this volume were (virtually) discussed at the University of L’Aquila―as the venue of the 2nd International Conference on Decision Economics, a three‐day global gathering of approximately one hundred scholars and practitioners—and were subjected to peer review by leading experts in the field. The essays reflect the extent, diversity, and richness of several research areas, both normative and descriptive, and are an invaluable resource for graduate‐level and PhD students, academics, researchers, policymakers and other professionals, especially in the social and cognitive sciences. Given its interdisciplinary scope, the book subsequently delivers new approaches on how to contribute to the future of economics, providing alternative explanations for various socio‐economic issues such as computable humanities; cognitive, behavioural, and experimental perspectives in economics; data analysis and machine learning as well as research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics; agent‐based modelling and the related. The editors are grateful to the scientific committee for its continuous support throughout the research project as well as to the many participants for their insightful comments and always probing questions. In any case, the collaboration involved in the project extends far beyond the group of authors published in this volume and is reflected in the quality of the essays published over the years

Keywords

  • Intelligent Computing
  • Distributed Computing
  • Decision Economics
  • Computational Intelligence
  • Artificial Intelligence
  • DCAI2020
  • DCAI-DECON

Editors and Affiliations

  • Department of PPEQS, Section of Economics and Quantitative Methods, University of Chieti-Pescara, Pescara, Italy

    Edgardo Bucciarelli

  • Department of Economics, National Chengchi University, Taipei, Taiwan

    Shu-Heng Chen

  • AIR Institute - Deep Tech Lab, University of Valladolid, Valladolid, Spain

    Juan M. Corchado

  • Department of Business and Economics Adminstration, University of Salamanca, Salamanca, Spain

    Javier Parra D.

Bibliographic Information

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-75583-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 219.99
Price excludes VAT (USA)