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.
|Title of host publication||Decision Economics: Minds, Machines, and their Society|
|Editors||Edgardo Bucciarelli, Shu-Heng Chen, Juan M. Corchado, Javier Parra D.|
|Publisher||Springer Nature Switzerland AG|
|Number of pages||14|
|ISBN (Print)||9783030755829, 9783030755843|
|Publication status||Published - 2021|
|Event||2nd International Conference on Decision Economics, DECON 2020 - Virtual, Online|
Duration: 17 Jun 2020 → 19 Jun 2020
|Name||Studies in Computational Intelligence|
|Conference||2nd International Conference on Decision Economics, DECON 2020|
|Period||17/06/20 → 19/06/20|
Bibliographical notePublisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Decision making