Centipede game network model of investment in real estate market based on grey integration and forwards induction

Author

Shui Lulu ; Chen Zhi

Author_Institution

Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

fYear

2013

fDate

15-17 Nov. 2013

Firstpage

421

Lastpage

424

Abstract

The investment process of decision-making in the real estate market is a multi-agent-stage dynamic process. The behavior of the game are interdependent and the ultimated equilibrium is an outcome of every the game adjust themselves comprehensively in certain conditions. The paper constructs a Centipede Game network model of investment in real estate market based on grey integration and forwards induction, regulars the method framework based on grey integration and forwards induction.

Keywords

decision making; game theory; investment; multi-agent systems; real estate data processing; Centipede game network model; decision-making; forward induction; game behavior; grey integration; investment process; multiagent-stage dynamic process; real estate market; ultimated equilibrium; Analytical models; Economics; Educational institutions; Games; Investment; Nash equilibrium; Centipede Game; Nash equilibrium; grey integration; investment decisions; real estate market;

fLanguage

English

Publisher

ieee

Conference_Titel

Grey Systems and Intelligent Services, 2013 IEEE International Conference on

Conference_Location

Macao

ISSN

2166-9430

Print_ISBN

978-1-4673-5247-5

Type

conf

DOI

10.1109/GSIS.2013.6714818

Filename

6714818