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

Steven Raaijmakers; Irene Vega Ramón; Jan Treur

doi:10.1007/978-3-030-75583-6_5

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

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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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 language	English
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
Pages	42-55
Number of pages	14
ISBN (Electronic)	9783030755836
ISBN (Print)	9783030755829, 9783030755843
DOIs	https://doi.org/10.1007/978-3-030-75583-6_5
Publication status	Published - 2021
Event	2nd International Conference on Decision Economics, DECON 2020 - Virtual, Online Duration: 17 Jun 2020 → 19 Jun 2020

Publication series

Name	Studies in Computational Intelligence
Volume	990
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	2nd International Conference on Decision Economics, DECON 2020
City	Virtual, Online
Period	17/06/20 → 19/06/20

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Raaijmakers2021_Chapter_ASecond-OrderAdaptiveCognitiveAndAffectiveUtilityBasedFinal published version, 1.73 MBLicence: Article 25fa Dutch Copyright Act

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Raaijmakers, S., Ramón, I. V., & Treur, J. (2021). A Second-Order Adaptive Cognitive and Affective Utility Based Computational Model for Decision Making. In E. Bucciarelli, S-H. Chen, J. M. Corchado, & J. Parra D. (Eds.), Decision Economics: Minds, Machines, and their Society (pp. 42-55). (Studies in Computational Intelligence; Vol. 990). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-75583-6_5

Raaijmakers, Steven ; Ramón, Irene Vega ; Treur, Jan. / A Second-Order Adaptive Cognitive and Affective Utility Based Computational Model for Decision Making. Decision Economics: Minds, Machines, and their Society. editor / Edgardo Bucciarelli ; Shu-Heng Chen ; Juan M. Corchado ; Javier Parra D. Springer Nature Switzerland AG, 2021. pp. 42-55 (Studies in Computational Intelligence).

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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.",

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year = "2021",

doi = "10.1007/978-3-030-75583-6_5",

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Raaijmakers, S, Ramón, IV & Treur, J 2021, A Second-Order Adaptive Cognitive and Affective Utility Based Computational Model for Decision Making. in E Bucciarelli, S-H Chen, JM Corchado & J Parra D. (eds), Decision Economics: Minds, Machines, and their Society. Studies in Computational Intelligence, vol. 990, Springer Nature Switzerland AG, pp. 42-55, 2nd International Conference on Decision Economics, DECON 2020, Virtual, Online, 17/06/20. https://doi.org/10.1007/978-3-030-75583-6_5

A Second-Order Adaptive Cognitive and Affective Utility Based Computational Model for Decision Making. / Raaijmakers, Steven; Ramón, Irene Vega; Treur, Jan.
Decision Economics: Minds, Machines, and their Society. ed. / Edgardo Bucciarelli; Shu-Heng Chen; Juan M. Corchado; Javier Parra D. Springer Nature Switzerland AG, 2021. p. 42-55 (Studies in Computational Intelligence; Vol. 990).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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KW - Second-order

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Raaijmakers S, Ramón IV, Treur J. A Second-Order Adaptive Cognitive and Affective Utility Based Computational Model for Decision Making. In Bucciarelli E, Chen S-H, Corchado JM, Parra D. J, editors, Decision Economics: Minds, Machines, and their Society. Springer Nature Switzerland AG. 2021. p. 42-55. (Studies in Computational Intelligence). Epub 2021 Aug 17. doi: 10.1007/978-3-030-75583-6_5

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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