Multiagentové prístupy k modelovaniu ekonomických systémov
MULTI-AGENT APPROACH ON ECONOMIC SYSTEMS MODELLING

Summary/Abstract: Multi-agents simulation reports a project in agents-based computer simulation of pro-cesses of economics in a population of boundedly rational learning agents. The same family of models will be simulated under different assumptions about the nature of the learning process and details of the production and economics process. The purpose of this procedure is to establish a relationship between the assumptions and the simulation results. The simulation techniques with baseline simulations of boundedly rational learning processes, and do not involve the complications of dealing with economies. Can simula-tion „explain“ the puzzles of finance regulation and particularly the key puzzle of growth and learning processes that produce the puzzling results? And just what assumptions of the simulation are not predictable associated with puzzling results?Typical problems are multi-agents case can also offer opportunities for inference of hidden action and agent monitoring agent. Extraordinary creativity remains a mystery, no one make dependable long term predictions of what inventions will occur and when, or what their effects will be.Agency theory drops the assumption that most individuals treat conformity as instrumental to the achievement of their personal goals. Agents can be dependent upon to conform only when held property accountable to effective incentives.Agents need to limit the recipients of their messages as much as possible and often need to share information across both time and space and learning this becomes a case of information sharing. Mechanism such as genetic programming can improve the behavior of a species of agents over successive generation and construct markets in the environment can enable an agent community as a whole to learn.

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