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

Steven Raaijmakers, Irene Vega Ramón, Jan Treur

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
PublisherSpringer Nature Switzerland AG
Publication statusAccepted/In press - 23 Mar 2020

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer-Nature

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