Preprint Article Version 1 This version is not peer-reviewed

How Artificial Intelligence Can Improve Understanding in Challenging Chaotic Environments

Version 1 : Received: 24 July 2019 / Approved: 30 July 2019 / Online: 30 July 2019 (03:48:37 CEST)

How to cite: Hafezi, R. How Artificial Intelligence Can Improve Understanding in Challenging Chaotic Environments. Preprints 2019, 2019070338 (doi: 10.20944/preprints201907.0338.v1). Hafezi, R. How Artificial Intelligence Can Improve Understanding in Challenging Chaotic Environments. Preprints 2019, 2019070338 (doi: 10.20944/preprints201907.0338.v1).

Abstract

Decision-makers are concerned with the inherent complexity of the modern world's markets. However, price fluctuations, environmental concerns, technological development, emerging markets, political challenges, and social expectations made the 21st century's more dynamic and complex. From a policy-making perspective, it is vital to uncover future trends. This paper proposed that artificial intelligence can improve interpretations in complex markets, such as financial and energy markets. In a complex environment, it is critical to investigate maximum available input features to ensure no valuable informative feature is neglected. Some AI-based models are investigated and presented that AI-based models can successfully uncover future trends. From a scenario development perspective purified input features subset refer to driving forces which shape alternative futures. Results showed that using AI can improve our understanding of how input features influence future behaviors and simultaneously improves prediction accuracy and reliability.

Subject Areas

prediction; futures studies; complex environment; machine learning data mining

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