Multiagent simulation of regional distributed
News of the Kabardin-Balkar scientific center of RAS, no. 1 (2011), pp. 101-107
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Multiagent simulation nowadays is considered as a very perspective methodology of studying regional
and local markets. We use different types of agents, and consider time- and information-based factors,
that affect agents’ behavior, especially information incompleteness and information asymmetry. The
model is based on planning adaptive agents using dynamic decision networks as a formal basis of the
agent’s decision-making. Agents maximize their expected utility (as a criterion function) with constraints
defined by the properties of the agent and the environment.
Keywords:
information asymmetry; information incompleteness; multi-agent simulation; mechanism
design; decision making; bounded rationality.
@article{IZKAB_2011_1_a17,
author = {A. O. Gurtuev and Z. Z. Ivanov and Z. V. Nagoev},
title = {Multiagent simulation of regional distributed},
journal = {News of the Kabardin-Balkar scientific center of RAS},
pages = {101--107},
publisher = {mathdoc},
number = {1},
year = {2011},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/IZKAB_2011_1_a17/}
}
TY - JOUR AU - A. O. Gurtuev AU - Z. Z. Ivanov AU - Z. V. Nagoev TI - Multiagent simulation of regional distributed JO - News of the Kabardin-Balkar scientific center of RAS PY - 2011 SP - 101 EP - 107 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/IZKAB_2011_1_a17/ LA - ru ID - IZKAB_2011_1_a17 ER -
A. O. Gurtuev; Z. Z. Ivanov; Z. V. Nagoev. Multiagent simulation of regional distributed. News of the Kabardin-Balkar scientific center of RAS, no. 1 (2011), pp. 101-107. http://geodesic.mathdoc.fr/item/IZKAB_2011_1_a17/