Resilience in the Decision-Making of an Artificial Autonomous System on the Stock Market
This paper presents the design of a resilience mechanism for supporting investment decision-making processes performed by artificial autonomous systems. In the field of Psychology, resilience is understood as the capacity of people to overcome adversity. Resilience has been determined to be a perman...
Main Authors: | Daniel Cabrera, Rolando Rubilar, Claudio Cubillos |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8856190/ |
Similar Items
-
Affective Algorithm for Controlling Emotional Fluctuation of Artificial Investors in Stock Markets
by: Daniel Cabrera, et al.
Published: (2018-01-01) -
Framework for Incorporating Artificial Somatic Markers in the Decision-Making of Autonomous Agents
by: Daniel Cabrera, et al.
Published: (2020-10-01) -
ARTIFICIAL INTELLIGENCE IN STOCK MARKET INVESTMENT
by: MOHAPATRA, Badri Narayan, et al.
Published: (2021-09-01) -
The value of financial information to make investment decisions in the Spanish stock market
by: Barberá Beltran, Raul
Published: (2019-06-01) -
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures
by: Saurabh Bagchi, et al.
Published: (2020-01-01)