The decision theoretic foundations of rational economic behaviour, institutional - and other - economic evolution in semi-decomposable systems, human and machine problem-solving by information processing systems, modelling the logic of discovery in Peircean (anti-Popperian), retroductive modes, and theorising about causality were among some of the many pioneering research themes to which Herbert A. Simon contributed as no other economist did. As distinct from "modern" behavioural economics, furthermore, Simon's work is rigorously and essentially cognitive, experimentally, and computationally - in the precise sense of computability theory - underpinned.

We derive our inspiration to investigate and, hopefully, contribute to these themes with the aim to allow several scholars to further pursue, strengthen, and develop this research field within the scientific community, in order to widen its scope by bringing in new research questions and applications, and to provide further insights into economics in the perspective of rationality, decision-making, and complexity. More specifically, we wonder which rationality and decision-making should be encompassed within economics?

Indeed, although significant progress has been made in recent years due to - among others - the combination of the proliferation of data, the decreasing costs of computing, and the first tentative steps made by economics into cognitive sciences, there is still a lot to learn and several faults to be investigated. Therefore, Decision Economics is intended to bring together leading scientists and practitioners to further investigate social science, cognitive science, and computer science as if it was an interdisciplinary research field in order to address, from the perspective of their own research, their relationships as they have not yet been completely understood and recognised in the social sciences.


Decision Economics is a growing field of research which has been given much attention by several scholars in recent decades. The recent negative economic and financial events, which have hit the world economies in the last decade, call for new and innovative studies mainly in economics, business and finance, involving different research fields such as Economics, Psychology, or strictly related social sciences, leading source for original research on the interplay of those fields within Artificial Intelligence. The organisers and chairs of DECON strongly believe that this is a moral duty, as well as a scientific duty, for a prudent and wise economist aware of the complexity of the real world in which he/she lives and works in the Third Millennium. Indeed, the combination of economics and decision sciences is a field of studies which proves to be useful and, thus, should be fostered to academicians and practitioners interested in the application of quantitative and behavioural methods to the problems of society. The special session focuses on interdisciplinary approaches to the study of economic analysis and policies within several major areas. Hence, papers are invited for the following areas of special interest which include but are not limited to:

  • Computation and Computability in Economics; Decision Sciences and the Economics of Uncertainty; Logic and Algorithmic Social Sciences Research;
  • Experimental Research in Economics; Behavioural Game Theory; Cognitive Economics; Data Science; Interrelations of Economics and Psychology with AI;
  • The complexity of Behavioural Decision Processes; Microfoundations and Micro-Macro Relationships; Organisational Decision-Making;
  • Decision Support Systems and Business Decisions; Business Intelligence Analytics and Decision-Making; AI and Robotics;
  • Managerial Decision-Making; Complex Business Environments; Information Technology and Operational Decision Sciences.

Doctoral Consortium

The aim of Doctoral Consortium is to provide a framework where Ph.D. students can present their ongoing research and meet other students as well as researchers in order to exchange ideas, challenge themselves, explore their abilities, and assess future research directions.

The Doctoral Consortium is intended for Ph.D. students who have a specific research proposal and some preliminary results to present, although still far from completing their dissertation.

All proposals submitted to the Doctoral Consortium will undergo a rigorous reviewing process, in which decisions are based on the recommendations of independent reviewers, with the aim to provide detailed and constructive feedback in any case. All accepted submissions will be presented in a special session dedicated to Doctoral Consortium and be published in the conference special book.



All papers must be formatted according to the AISC template, with a maximum length of 8 pages (4 pages in Doctoral Consortium), including figures and references:


All proposed papers must be submitted in electronic form (PDF format) using the DECON conference management system.

Review process

DECON welcomes submissions with a preference for topics listed in the Call for Papers. All submitted papers will undergo a rigorous peer review process; each paper will be referred by at least three experts in the field, and be selected based on originality, quality, soundness, and relevance.


All accepted papers will be included in a special book published by Computational Intelligence and Complexity AISC SERIES of Springer-Nature. However, the author (or at least one of the authors in case of papers co-authored) will be required to register and attend the conference to present her paper. Failure to comply will result in exclusion from the conference and the special book.

Springer Verlag

** Indexing: The books of this series are submitted to ISI ProceedingsEI-CompendexDBLPSCOPUSGoogle Scholar and Springerlink **

Special Issues

Authors of selected papers will be offered the opportunity to submit an extended version of their papers to a journal special issue.

Important dates

  • Main Track - Paper submission deadline: 31th January, 2020
  • Doctoral Consortium - Paper submission deadline: 29th February, 2020

  • Notification of acceptance: 09th March, 2020
  • Camera-Ready papers due: 30th March, 2020
  • Conference Celebration: 17th-19th June, 2020



  • Edgardo Bucciarelli - University of Chieti-Pescara (Italy)
  • Shu-Heng Chen - National Chengchi University, Taipei (Taiwan)
  • Juan Manuel Corchado - University of Salamanca (Spain)
  • Javier Parra - University of Salamanca (Spain)