Economic simulations in Swarm: agent-based modelling and object programming
Economic simulations in Swarm: agent-based modelling and object programming
The WALRAS Algorithm: A Convergent Distributed Implementation of General Equilibrium Outcomes
Computational Economics
Using PDES to Simulate Individual-Oriented Models in Ecology: A Case Study
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Simulation of Gender Artificial Society: Multi-agent Models of Subject-Object Interactions
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
PAMR: A Process Algebra for the Management of Resources in Concurrent Systems
FORTE '01 Proceedings of the IFIP TC6/WG6.1 - 21st International Conference on Formal Techniques for Networked and Distributed Systems
Parallel functional programming at two levels of abstraction
Proceedings of the 3rd ACM SIGPLAN international conference on Principles and practice of declarative programming
A multi-agent system for e-barter including transaction and shipping costs
Proceedings of the 2003 ACM symposium on Applied computing
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The combination of powerful computers and complex simulators allows us to accurately simulate the behavior of real system. This is specially important in the case of systems that cannot be manipulated, as the economic behavior of a society. CEES is a program that allows a user to simulate the behavior, both in the short and long-term, of an economy. Besides, users of the system can be part of the simulation by taking charge either of a company or of the State. Let us remark that, in contrast with most economic models, CEES takes into account a huge amount of variables (more than one thousand) in order to compute the current state of the economy.