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Analysis of the variety of architectures and methods for modeling of decentralized systems based on the agent-oriented approach


Burilina М.А., Akhmadeev B.A.
(about the authors)

Burilina Mariya А. – Researcher (Central Economics and Mathematics Institute of the Russian Academy of Sciences)

Akhmadeev Bulat A. – Researcher (Central Economics and Mathematics Institute of the Russian Academy of Sciences)

Published in:
Creative Economy
– Volume 10, Number 7 (July 2016)

JEL classification: C45, C55, C63

Keywords: agend-based models, architecture of agent, artificial society, behavior of agents, logical algorithms, mathematical modeling of agents' behavior, neuron networks


Citation:
Burilina М.А., Akhmadeev B.A. (2016). Analysis of the variety of architectures and methods for modeling of decentralized systems based on the agent-oriented approach. Creative Economy, 10(7), 829–848. doi: 10.18334/ce.10.7.35364


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Abstract:

The article gives the methodology for building of the artificial intelligence, agents and hybrid agend-based models using neuron networks that allow to negotiate disadvantages of known methods for mathematical formalization of behavior of micro-level agents. The authors have developed the detailed review of learning and non-learning agents, have mathematically described approaches to design of interrelations between agents in the network and have suggested classifiers for artificial intelligence. This work may be useful for development of optimization models based on methods for simulating computer modeling, neuron networks as well as for building of decentralized agend-based models of social systems.







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