This paper presents a tight relationship between evolutionary game theory and distributed intelligence models. After reviewing some existing theories of replicator dynamics and distributed Monte Carlo learning, we make formulations and proofs of the equivalence between these two models. The...

This paper investigates the aggregate fluctuations in production and demand components when a firm's investment decision takes the form of (S,s) policies. In the field of large-dimensional non-linear dynamical systems, it is a commonly accepted view that a system of coupled non-linear...

The spatial pattern as described by von Thünen is considered an optimal solution to maximize society's well-being in a hypothetical environment. We developed a model to demonstrate whether a collection of autonomous individuals can contribute to the formation of this optimal pattern, without...

This paper examines how a regulatory authority might subsidize (i.e., cost share) the partici- pation of associations (or teams) of agents in a surplus-generating economic activity, and how the agents might in turn cooperatively share the surplus. Toward this end, a subgame-perfect equilibrium...

This paper applies two recently developed trading algorithms to a water quality trading (WQT) market located in the Cub River sub-basin of Utah; a market that includes both point and nonpoint sources. The algorithms account for three complications that naturally arise in WQT markets: (1)...

This paper presents a tight relationship between evolutionary game theory and distributed intelligence models. After reviewing some existing theories of replicator dynamics and distributed Monte Carlo learning, we make formulations and proofs of the equivalence between these two models. The...

This paper studies the identification of nonseparable models with continuous, endogenous regressors, also called treatments, using repeated cross sections. We show that several treatment effect parameters are identified under two assumptions on the effect of time, namely a weak stationarity...