scholarly journals Models of Strategic Decision-Making under Informational Control

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1889
Author(s):  
Dmitry Novikov
Keyword(s):  
Decision Making ◽  
Online Social Networks ◽  
Internal State ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Informational Control ◽  
Multi Agent ◽  
And Control

A general complex model is considered for collective dynamical strategic decision-making with explicitly interconnected factors reflecting both psychic (internal state) and behavioral (external-action, result of activity) components of agents’ activity under the given environmental and control factors. This model unifies and generalizes approaches of game theory, social psychology, theories of multi-agent systems, and control in organizational systems by simultaneous consideration of both internal and external parameters of the agents. Two special models (of informational control and informational confrontation) contain formal results on controllability and properties of equilibriums. Interpretations of a general model are conformity (threshold behavior), consensus, cognitive dissonance, and other effects with applications to production systems, multi-agent systems, crowd behavior, online social networks, and voting in small and large groups.

Dynamic Generation and Control of Optimally Persistent Formation for Multi-agent Systems

2014 ◽  
Vol 39 (9) ◽  
pp. 1431-1438 ◽  
Author(s):  
Xiao-Yuan LUO ◽  
Shi-Kai SHAO ◽  
Xin-Ping GUAN ◽  
Yuan-Jie ZHAO
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Dynamic Generation ◽  
And Control

Admissible consensus analysis and control for a class of singular multi-agent systems

2017 ◽  
Author(s):  
Xin-Rong Yang ◽  
Guo-Ping Liu ◽  
Jianting Lyu ◽  
Dai Gao
Keyword(s):  
Multi Agent Systems ◽  
Consensus Analysis ◽  
Agent Systems ◽  
Multi Agent ◽  
And Control

scholarly journals Impulsive Consensus Tracking of Multiagent Systems with Quantization and Input Delays Using Position-Only Information

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hong Zhou ◽  
Yu-Zhen Qin ◽  
Kuo Feng ◽  
Wen-Shan Hu ◽  
Zhi-Wei Liu
Keyword(s):  
Sampling Period ◽  
Second Order ◽  
Quantization Scheme ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Sufficient And Necessary Conditions ◽  
Multi Agent ◽  
Input Delays ◽  
And Control

This paper investigates the consensus tracking problem for second-order multi-agent systems without/with input delays. Randomized quantization scheme is considered in the communication channels, and impulsive consensus tracking algorithms using position-only information are proposed for the consensus tracking of multi-agent systems. Based on the algebraic graph theory and stability theory of impulsive systems, sufficient and necessary conditions for consensus tracking are studied. It is found that consensus tracking for second-order multi-agent systems without/with input delays can be achieved by appropriately choosing the sampling period and control gains which are determined by second/third degree polynomials. Simulations are performed to validate the theoretical results.

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