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Decision Economics: Complexity of Decisions and Decisions for Complexity

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Edgardo Bucciarelli

    1. Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, Section of Economics and Quantitative Methods, University of Chieti-Pescara, Pescara, Italy

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  2. Shu-Heng Chen

    1. AI-ECON Research Center - Department of Economics, National Chengchi University, Taipei, Taiwan

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  3. Juan Manuel Corchado

    1. Edificio Parque Científico Universidad de Valladolid, AIR Institute, Salamanca, Spain

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  • Presents the latest research on Decision Economics, which is a novel discipline founded within the framework of making decisions, where cognitive and economic decision models are intertwined in both normative and positive approaches.
  • Includes the best outcomes of the 1st International Conference on Decision Economics (DECON 2019) held at the Escuela Politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019.
  • Written by respected experts in the field, for the progress of economics as a science.

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1009)

Included in the following conference series:

Conference proceedings info: DECON 2019.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Calibrating Methods for Decision Making Under Uncertainty

    • Robert E. Marks
    Pages 1-9

  3. Coordination and Search for New Solutions

    • Friederike Wall
    Pages 10-17

  4. Appeasement or Radicalism: A Game Between Intruders and Occupiers

    • Yehui Lao, Zhiqiang Dong
    Pages 18-23

  5. Coping with Bounded Rationality, Uncertainty, and Scarcity in Product Development Decisions: Experimental Research

    • Ben Vermeulen, Bin-Tzong Chie, Andreas Pyka, Shu-Heng Chen
    Pages 24-35

  6. What Next for Experimental Economics? Searching for an Alternative Pathway Founded on Mathematical Methods

    • Carmen Pagliari, Edgardo Bucciarelli
    Pages 36-44

  7. Generating Neural Archetypes to Instruct Fast and Interpretable Decisions

    • Pietro Barbiero, Gabriele Ciravegna, Giansalvo Cirrincione, Alberto Tonda, Giovanni Squillero
    Pages 45-52

  8. Strength Investing - A Computable Methodology for Capturing Strong Trends in Price-Time Space in Stocks, Futures, and Forex

    • Heping Pan
    Pages 53-60

  9. A Deep Learning Framework for Stock Prediction Using LSTM

    • Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu
    Pages 61-69

  10. Testing Fiscal Solvency in Macroeconomics

    • Paolo Canofari, Alessandro Piergallini
    Pages 70-76

  11. CEO Gender and Financial Performance: Empirical Evidence of Women on Board from EMEA Banks

    • Stefania Fensore
    Pages 77-84

  12. The Minimum Heterogeneous Agent Configuration to Realize the Future Price Time Series Similar to Any Given Spot Price Time Series in the AI Market Experiment

    • Yuji Aruka, Yoshihiro Nakajima, Naoki Mori
    Pages 85-92

  13. A Lab Experiment Using a Natural Language Interface to Extract Information from Data: The NLIDB Game

    • Raffaele Dell’Aversana, Edgardo Bucciarelli
    Pages 93-108

  14. The Interdependence of Shared Context: Autonomous Human-Machine Teams

    • W. F. Lawless
    Pages 109-116

  15. Games with Multiple Alternatives Applied to Voting Systems

    • Joan Blasco, Xavier Molinero
    Pages 117-124

  16. Measuring the Macroeconomic Uncertainty Based on the News Text by Supervised LDA for Investor’s Decision Making

    • Kyoto Yono, Kiyoshi Izumi, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima
    Pages 125-133

  17. Mapping the Geography of Italian Knowledge

    • Daniela Cialfi, Emiliano Colantonio
    Pages 134-141

  18. Hot Trading and Price Stability Under Media Supervision in the Chinese Stock Market

    • Hung-Wen Lin, Jing-Bo Huang, Kun-Ben Lin, Shu-Heng Chen
    Pages 142-153

  19. Does Cultural Distance Affect International Trade in the Eurozone?

    • Donatella Furia, Iacopo Odoardi, Davide Ronsisvalle
    Pages 154-161

  20. Making Sense of Economics Datasets with Evolutionary Coresets

    • Pietro Barbiero, Alberto Tonda
    Pages 162-170
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Other volumes

  1. Decision Economics: Complexity of Decisions and Decisions for Complexity

Keywords

About this book

This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment.

DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds) 



Editors and Affiliations

  • Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, Section of Economics and Quantitative Methods, University of Chieti-Pescara, Pescara, Italy

    Edgardo Bucciarelli

  • AI-ECON Research Center - Department of Economics, National Chengchi University, Taipei, Taiwan

    Shu-Heng Chen

  • Edificio Parque Científico Universidad de Valladolid, AIR Institute, Salamanca, Spain

    Juan Manuel Corchado

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