國立虎尾科技大學 |

Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security/ by Vassili N. Kolokoltsov, Oleg A. Malafeyev.
Author:	Kolokoltsov, Vassili N.
other author:	Malafeyev, Oleg A.
Description:	XIX, 196 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Game theory. -
Online resource:	https://doi.org/10.1007/978-3-030-12371-0
ISBN:	9783030123710

Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security
Kolokoltsov, Vassili N.

Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security[electronic resource] /by Vassili N. Kolokoltsov, Oleg A. Malafeyev. - 1st ed. 2019. - XIX, 196 p. 1 illus.online resource. - Springer Series in Operations Research and Financial Engineering,1431-8598. - Springer Series in Operations Research and Financial Engineering,.

1. Introduction: Main Models and LLN Methology -- Part I: Multi-agent Interaction and Nonlinear Markov Games -- 2. Best Response Principals -- 3. Dynamic Control of Major Players -- 4. Models of Growth Under Pressure -- Par II: Pools of Rational Optimizers -- 5. MFGs for Finite-state Models -- 6. Three State Model of Corruption and Inspection -- 7. Four State Model of Cyber-security -- 8. Turnpick Theory for MFGs on Two-dimensional Networks.

There has been an increase in attention toward systems involving large numbers of small players, giving rise to the theory of mean field games, mean field type control and nonlinear Markov games. Exhibiting various real world problems involving major and minor agents, this book presents a systematic continuous-space approximation approach for mean-field interacting agents models and mean-field games models. After describing Markov-chain methodology and a modeling of mean-field interacting systems, the text presents various structural conditions on the chain to yield respective socio-economic models, focusing on migration models via binary interactions. The specific applications are wide-ranging – including inspection and corruption, cyber-security, counterterrorism, coalition building and network growth, minority games, and investment policies and optimal allocation – making this book relevant to a wide audience of applied mathematicians interested in operations research, computer science, national security, economics, and finance.

ISBN: 9783030123710

Standard No.: 10.1007/978-3-030-12371-0doiSubjects--Topical Terms:

556918
Game theory.

LC Class. No.: HB144

Dewey Class. No.: 519

Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security
LDR:03036nam a22004215i 4500 001 1015865
003 DE-He213
005 20200701153200.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030123710 $9 978-3-030-12371-0
024 7 $a 10.1007/978-3-030-12371-0 $2 doi
035 $a 978-3-030-12371-0
050 4 $a HB144
050 4 $a QA269-272
072 7 $a PBUD $2 bicssc
072 7 $a MAT011000 $2 bisacsh
072 7 $a PBUD $2 thema
082 0 4 $a 519 $2 23
100 1 $a Kolokoltsov, Vassili N. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1310088
245 1 0 $a Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security $h [electronic resource] / $c by Vassili N. Kolokoltsov, Oleg A. Malafeyev.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XIX, 196 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Series in Operations Research and Financial Engineering, $x 1431-8598
505 0 $a 1. Introduction: Main Models and LLN Methology -- Part I: Multi-agent Interaction and Nonlinear Markov Games -- 2. Best Response Principals -- 3. Dynamic Control of Major Players -- 4. Models of Growth Under Pressure -- Par II: Pools of Rational Optimizers -- 5. MFGs for Finite-state Models -- 6. Three State Model of Corruption and Inspection -- 7. Four State Model of Cyber-security -- 8. Turnpick Theory for MFGs on Two-dimensional Networks.
520 $a There has been an increase in attention toward systems involving large numbers of small players, giving rise to the theory of mean field games, mean field type control and nonlinear Markov games. Exhibiting various real world problems involving major and minor agents, this book presents a systematic continuous-space approximation approach for mean-field interacting agents models and mean-field games models. After describing Markov-chain methodology and a modeling of mean-field interacting systems, the text presents various structural conditions on the chain to yield respective socio-economic models, focusing on migration models via binary interactions. The specific applications are wide-ranging – including inspection and corruption, cyber-security, counterterrorism, coalition building and network growth, minority games, and investment policies and optimal allocation – making this book relevant to a wide audience of applied mathematicians interested in operations research, computer science, national security, economics, and finance.
650 0 $a Game theory. $3 556918
650 0 $a Probabilities. $3 527847
650 0 $a Calculus of variations. $3 527927
650 1 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 669497
650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 593942
700 1 $a Malafeyev, Oleg A. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1310089
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030123703
776 0 8 $i Printed edition: $z 9783030123727
776 0 8 $i Printed edition: $z 9783030123734
830 0 $a Springer Series in Operations Research and Financial Engineering, $x 1431-8598 $3 1267183
856 4 0 $u https://doi.org/10.1007/978-3-030-12371-0
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)