Emotion-Inspired Computational Models
Computational models of emotional learning, which are computer-based models, have been developed to represent the associative learning aspect of emotional processing. From the application perspective, they can be categorized into three groups: emotion-based decision-making model, emotion-based controller, and emotion-based machine-learning approaches.
To learn more about brain emotional learning models visit BELresearch.org
You may now ask, what does it have to do with algo trading? Like any other nonlinear systems, one may utilize emotion-based machines. Financial markets are unpredictable and nonlinear. Emotional machines have been highly effective in prediction of all forms of nonlinearities and chaotic systems.
Meet the Team
We’re a team of humans and non-human beings: We have machines and to be honest, we’ve had help from extraterrestrials too! How else do you think we’re building better machines than those big banks and rich hedge funds?
contact us through EMAIL, again, no phone, no fax, no mail, no stone, no smoke, no text, no nothing, just email please! It’s OneLoveAlgo@gmail.com.