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Market-neutral trading with fuzzy inference, a new method for the pairs trading strategy
(Kaunas University of Technology, 2019)
Pricing of financial instruments and stock market predictions is a specific and relatively narrow field, which has been mainly explored by mathematicians, economists and financial engineers. Prediction to make profits in ...
Communicating forecasts: the simplicity of simulated experience
(Elsevier, 2015-08)
It is unclear whether decision makers who receive forecasts expressed as probability distributions over outcomes understand the implications of this form of communication. We suggest a solution based on the fact that people ...
The two settings of kind and wicked learning environments
(Association for Psychological Science, 2015-10)
Inference involves two settings: In the first, information is acquired (learning); in the second, it is applied (predictions or choices). Kind learning environments involve close matches between the informational elements ...
Ideology and brand consumption
(Sage, 2013-03)
Do mundane daily choices, such as what brands people buy in a supermarket, reflect aspects of values and ideologies? This article presents a large-scale field study performed to determine whether traits associated with a ...
A picture's worth a thousand numbers
(Harvard Business Publishing, 2013-06)
The article examines research on the subject of humans' difficulty in understanding probability and the value of graphic representations in improving that understanding. Topics include research by "Harvard Business Review" ...
Providing information for decision making: Contrasting description and simulation
(Elsevier, 2015-09)
Providing information for decision making should be like telling a story. You need to know, first, what you want to say; second, whom you are addressing; and third, how to match the message and audience. However, data ...
Emergent emotion via neural computational energy conservation on a humanoid robot
(IEEE, 2013)
This paper presents our initial work on how emotion based behaviors may emerge through computational mechanisms. We hold that in addition to basic emotions such as anger and fear that serves bodily well being of the organism, ...
Sequential decision making based on emergent emotion for a humanoid robot
(IEEE, 2017)
Certain emotions and moods can be manifestations of complex and costly neural computations that our brain wants to avoid. Instead of reaching an optimal decision based on the facts, we find it often easier and sometimes ...
Source behavior discovery for fusion of subjective opinions
(IEEE, 2016)
Information is at the center of decision making in many systems and use-cases. In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions ...
Emotion as an emergent phenomenon of the neurocomputational energy regulation mechanism of a cognitive agent in a decision-making task
(Sage, 2021-02)
Biological agents need to complete perception-action cycles to perform various cognitive and biological tasks such as maximizing their wellbeing and their chances of genetic continuation. However, the processes performed ...
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