The impact of reward and punishment sensitivity on memory and executive performance in individuals with amnestic mild cognitive impairment

Corvalan, Nicolas; Crivelli, Lucia; Allegri, Ricardo F.; Pedreira, Maria E.; Fernández, Rodrigo S.

doi:10.1016/j.bbr.2024.115099

Behavioural Brain Research

2024

DOI: 10.1016/j.bbr.2024.115099

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The impact of reward and punishment sensitivity on memory and executive performance in individuals with amnestic mild cognitive impairment

Nicolas Corvalan,

Lucia Crivelli,

Ricardo F. Allegri

et al.

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2024

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Cited by 1 publication

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Artificial Punishment Signals for Guiding the Decision-Making Process of an Autonomous System

Cabrera-Paniagua,

Rubilar-Torrealba,

Castro

et al. 2024

Applied Sciences

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Somatic markers have been evidenced as determinant factors in human behavior. In particular, the concepts of somatic reward and punishment have been related to the decision-making process; both reward and somatic punishment represent bodily states with positive or negative sensations, respectively. In this research work, we have designed a mechanism to generate artificial somatic punishments in an autonomous system. An autonomous system is understood as a system capable of performing autonomous behavior and decision making. We incorporated this mechanism within a decision model oriented to support decision making on stock markets. Our model focuses on using artificial somatic punishments as a tool to guide the decisions of an autonomous system. To validate our proposal, we defined an experimental scenario using official data from Standard & Poor’s 500 and the Dow Jones index, in which we evaluated the decisions made by the autonomous system based on artificial somatic punishments in a general investment process using 10,000 independent iterations. In the investment process, the autonomous system applied an active investment strategy combined with an artificial somatic index. The results show that this autonomous system presented a higher level of investment decision effectiveness, understood as the achievement of greater wealth over time, as measured by profitability, utility, and Sharpe Ratio indicators, relative to an industry benchmark.

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Artificial Punishment Signals for Guiding the Decision-Making Process of an Autonomous System

Cabrera-Paniagua,

Rubilar-Torrealba,

Castro

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

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The impact of reward and punishment sensitivity on memory and executive performance in individuals with amnestic mild cognitive impairment

Cited by 1 publication

References 37 publications

Artificial Punishment Signals for Guiding the Decision-Making Process of an Autonomous System

Artificial Punishment Signals for Guiding the Decision-Making Process of an Autonomous System

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