Game Strategy in Multi-User Shared Virtual Environment Based on Internet

2010 ◽  
Vol 26-28 ◽  
pp. 809-812
Author(s):  
Hai Dong Yu ◽  
Bo Tao Zhang ◽  
Yan Chun Wang

This paper proposed a new interests game model with dynamic correlation analysis in distributed virtual environment based on mechanism design theory. The game definitions in correlation network and interest matrix were given and an analysis approach to find out the interest focus of virtual agents and administrator was presented. Thus a prototype virtual environment game system was implemented to demonstrate the effects of our approach in optimizing the visual rendering process and highlighting the collaborative perception according to payoffs under imperfect information condition.

2012 ◽  
Vol 468-471 ◽  
pp. 2223-2226
Author(s):  
Juan He ◽  
Jian Wang ◽  
Li Sun

This paper introduces the mechanism design theory to establish Stacklberg Game Model in which with perfect information, logistical enterprises are leading decision makers, analyzing the game behavior of inventory financing with the method of backward induction. The results indicate that with perfect information, two-sided market of banks and logistical enterprises has more advantages than one-sided market of banks, and logistical enterprises are willing to improve their risk ratio to gain interest reduction from banks, which can lead to demand for financing.


2001 ◽  
Vol 27 (3) ◽  
pp. 16-26 ◽  
Author(s):  
Masaya Okada ◽  
Hiroyuki Tarumi ◽  
Tetsuhiko Yoshimura ◽  
Kazuyuki Moriya

2005 ◽  
Vol 16 (7) ◽  
pp. 637-649 ◽  
Author(s):  
P. Morillo ◽  
J.M. Orduna ◽  
M. Fernandez ◽  
J. Duato

2014 ◽  
Vol 23 (04) ◽  
pp. 1460020 ◽  
Author(s):  
George Anastassakis ◽  
Themis Panayiotopoulos

Intelligent virtual agent behaviour is a crucial element of any virtual environment application as it essentially brings the environment to life, introduces believability and realism and enables complex interactions and evolution over time. However, the development of mechanisms for virtual agent perception and action is neither a trivial nor a straight-forward task. In this paper we present a model of perception and action for intelligent virtual agents that meets specific requirements and can as such be systematically implemented, can seamlessly and transparently integrate with knowledge representation and intelligent reasoning mechanisms, is highly independent of virtual world implementation specifics, and enables virtual agent portability and reuse.


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