Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol

Autor:	Cotton, Peter
Rok vydání:	2019
Předmět:	Statistics - Applications Computer Science - Computers and Society Quantitative Finance - Statistical Finance Statistics - Machine Learning 14J60 (Primary)
Druh dokumentu:	Working Paper
Popis:	A multi-agent system is trialed as a means of crowd-sourcing inexpensive but high quality streams of predictions. Each agent is a microservice embodying statistical models and endowed with economic self-interest. The ability to fork and modify simple agents is granted to a large number of employees in a firm and empirical lessons are reported. We suggest that one plausible trajectory for this project is the creation of a Prediction Web. Comment: Thirty-sixth International Conference on Machine Learning Workshop on AI in Finance: Applications and Infrastructure for Multi-Agent Learning
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1907.07514 Zobrazit plný text záznamu View this record from Arxiv