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

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Journal paper

Creative Economy ^{(РИНЦ, ВАК)}
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Volume 10, Number 7 (July 2016)

Citation:

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=26382934
Cited: 2 by 07.08.2023

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.

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

JEL-classification: C55, C45, C63

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