AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …

∗ A comprehensive version of our review on AI in Finance is accessible at SSRN: http://dx.
doi. org/10.2139/ssrn. 3647625. This article complements the other paper 'AI in Finance …

Artificial intelligence (AI) and reinforcement learning (RL) have improved many areas but are
not yet widely adopted in economic policy design, mechanism design, or economics at …

Tackling real-world socio-economic challenges requires designing and testing economic
policies. However, this is hard in practice, due to a lack of appropriate (micro-level) …

In the empirical approach to game-theoretic analysis (EGTA), the model of the game comes
not from declarative representation, but is derived by interrogation of a procedural …

Governance in online communities is an increasingly high-stakes challenge, and yet many
basic features of offline governance legacies-juries, political parties, term limits, and formal …

This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …

A novel bio-inspired optimization algorithm called Elephant Search Algorithm (ESA) is
proposed in this paper. ESA emerges from the hybridization of evolutionary mechanism and …

Cloud manufacturing (CMfg) is emerging as an advanced service-oriented manufacturing
model for the manufacturing industry. In CMfg system, manufacturing service allocation …

A high pressure bipropellant rocket engine has been successfully micromanufactured by
fusion bonding a stack of six individually etched single crystal silicon wafers. In order to test …