A Second-Order Adaptive Cognitive and Affective Utility Based Computational Model for Decision Making

Steven Raaijmakers, Irene Vega Ramón, Jan Treur*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper presents a second-order adaptive decision making model based on expected utility. It focuses on a cognitive and affective valuing process. The model uses the main recent advances in cognitive and affective neuroscience, picoeconomics and expectancy theory. It responds to two main challenges that are hindering the study of decision making: (a) lack of formal dynamic computational models, and (b) discipline bound theories. Simulations of the model cover prediction, adaptive time-sensitive and affective valence, and the adaptivity of expectancy through learning cycles. It is discussed how the model was mathematically analyzed.
Original languageEnglish
Title of host publicationProceedings of the Second International Conference on Decision Economics, DECON'20
Subtitle of host publicationMinds, Machines, and their Society
EditorsEdgardo Bucciarelli, Shu-Heng Chen, Juan M. Corchado, Javier Parra D.
PublisherSpringer Nature Switzerland AG
Pages42-55
Number of pages14
ISBN (Electronic)9783030755836
ISBN (Print)9783030755829, 9783030755843
DOIs
Publication statusPublished - 2021
Event2nd International Conference on Decision Economics, DECON 2020 - Virtual, Online
Duration: 17 Jun 202019 Jun 2020

Publication series

NameStudies in Computational Intelligence
Volume990
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference2nd International Conference on Decision Economics, DECON 2020
CityVirtual, Online
Period17/06/2019/06/20

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Adaptive
  • Affective
  • Cognitive
  • Decision making
  • Second-order
  • Utility

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