This paper reports first results and analysis from an accurate agent-based model of a contemporary financial exchange populated by automated trading systems that use a combination of real-time machine learning and longer-term optimization methods in an. attempt to continuously improve their...

This paper reports results and analysis from simulation experiments in which a population of adaptive automated traders compete with one another and co-evolve their trading behaviors on a high-fidelity model of a contemporary electronic financial exchange. The automated traders are all using the...

This paper is motivated by the global housing affordability crisis. Housing shortages in monetary economies are defined by affordability, which is the balance between money (income and borrowing) to access housing and the price (purchase prices and rents) that provides access. This balance is...

In this paper, we describe the Factored Value MCTS Hybrid Cost-Max-Plus algorithm, a collection of decision-making algorithms (centralized, decentralized, and hybrid) for a multi-agent system in a collaborative setting that considers action costs. Our proposed algorithm is made up of two steps....