This paper proposes agent-based formulation of a Supply Chain Management(SCM) system for manufacturing firms. We model each firm as an intelligent agent, which communicates each other through the blackboard architecture in distributed artificial intelligence. To overcome the issues of...

DYNARE: A program for the simulation of rational expectation models Michel Juillard (CEPREMAP and University Paris 8) DYNARE is a user oriented general program for the simulation of deterministic or stochastic models. For linear models, it implements a generalized Schur decomposition algorithm;...

Anderson's papers describe a method for solving linear saddle point models. The numerical implementation of the algorithm has proved useful in a wide array of applications including analyzing linear perfect foresight models, and providing initial solutions and asymptotic constraints for...

The rapid growth of a global electronic market place, together with the establishment of standard negotiation protocols, currently leads to the development of multi-agent architectures in which artificial agents can negotiate on behalf of their users. Ideally, these agents should be able to...

This paper investigates private-value `reserve price' auctions when there is a strong bidder in an n-bidder model. Consider an auction model, in which bidders draw their values from the same distribution, but then identity of the high-value bidder is revealed. This can be more plausible than the...

Krylov subspace methods have proven to be powerful methods for solving sparse linear systems arising in several engineering problems. More recently, these methods have been successfully applied in computational economics, for instance in the solution of forward-looking macroeconometric models...

The paper presents a method for the recursive solution of models with a continuum of heterogeneous agents. Following Krusell and Smith (1998) and others, it is assumed that the wealth distribution in the economy can be represented, to a sufficient degree of accuracy, by a finite number of...

Normative agricultural policy models are traditionally either based on representative farms or on farm samples. A well-known problem of representative farm models is the aggregation error. On the other hand, farm sample models usually do not consider farms' interactions and thus, the farms'...

We discuss two optimization problems from economics. The first is a model of optimal investment and the second is a model of resource management. In both cases the time horizon is infinite and the optimal control variables are continuous. Typically, in these optimal control problems multiple...

We use nonparametric, local regression and regression tree analysis to assess whether there exist multiple regimes in U.S. monetary policy over the period 1955:3-2000:2. We model U.S. monetary policy using a Taylor rule specification for the nominal interest rate target. By contrast with...