THE RESEARCH OF SOCIAL INEQUALITY WITH THE MEAN OF MULTI-AGENT MODELS FOR DIFFERENT TYPES OF COMMUNICATION NETWORKS

dc.creator	Terentyeva Svetlana Sergeevna
dc.creator	Ezhov Alexander Alexandrovich
dc.date	2012-03-01T00:00:00Z
dc.date.accessioned	2015-08-12T11:17:18Z
dc.date.available	2015-08-12T11:17:18Z
dc.identifier	2077-1770
dc.identifier	2218-7405
dc.identifier	https://doaj.org/article/a07f6910ddae41fe9f503dd650577a5f
dc.identifier.uri	http://evidence.thinkportal.org/handle/123456789/26219
dc.description	This paper is devoted to development of the model [6] formulated in 2005, which allows to investigate the effect that inequality has on characteristics of agents’ memory. These agents strive to preserve two resources that are meaningful for agents’ existence. Agents are differentiated by basic strategies aimed to conserve one of the two resources - either tangible or intangible (i.e. linked to status, professionalism). These strategies are associated with domination of one of the two parencephalons of agent’s brain. Agents’ interaction is described by virtue of rules identified within the theory of reflexive systems by V. Lefebvre. The analysis of critical events in systems of agents of various types is conducted using the estimate for the degree of ultrametricity among agents’ histories set. The degree of inequality for the supply of tangible resource is described with effective temperature, allowing to apply methods of quantum statistics and low temperature physics (with low temperatures corresponding to pronounced inequality). The model can be potentially applied in many areas - from social to control, memory, and medical studies. The arguments explaining why the degree of ultrametricity enables to detect complementarity of the two incomplete encodings for agents’ histories under low temperatures are presented for the first time. Moreover, it is shown for the first time that model’s properties revealed previously, which are reflected in emergence of specific memory encodings as a result of exceedance of a critical value for the degree of inequality in the case of fully connected network of agents’ relations, remain unchanged in the case of agents’ networks with random connections.
dc.language	Russian
dc.publisher	Naučno-innovacionnyj Centr
dc.relation	https://doaj.org/toc/2077-1770
dc.relation	https://doaj.org/toc/2218-7405
dc.rights	CC BY-NC-ND
dc.source	Sovremennye Issledovaniâ Socialʹnyh Problem , Iss 3 (2012)
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.title	THE RESEARCH OF SOCIAL INEQUALITY WITH THE MEAN OF MULTI-AGENT MODELS FOR DIFFERENT TYPES OF COMMUNICATION NETWORKS
dc.type	article