NDLI: Computer games are an efficient tool for event game theory

Content Provider	IEEE Xplore Digital Library
Author	Xu Xinhe Wang Hao Xu Changming
Copyright Year	2011
Description	Author affiliation: Department of electronics and information, Northeastern University at Qinhuangdao, CO 066004, China (Xu Changming) \|\| School of information science and engineering, Northeastern University, Shenyang, CO 110819, China (Xu Xinhe; Wang Hao)
Abstract	The game theory includes the static and dynamic one. In the dynamic game theory, the continuous game means the game variables (decisions) of game model are continuous. The differential game theory is very useful and important to the continuous game and has made significant theoretic and application results. For the discrete game variables of dynamic games, the game is defined as event game by Prof. XU Xinhe in reference [1] since the systems belong to discrete event dynamic system (DEDS). The basic model frame is also given in the reference for the perfect information event game system. Because of the huge game tree model, the analytic solution cannot be deducted and the various search solution could be used. Therefore the computer game theory and algorithms becomes an efficient tool for event game theory. This paper give the model of event game theory first, then analyzes problems and difficulties to the model solution. The fundamentals and methodologies of computer game are summarized and efficient tool to the event game could be detected. How to develop the event theory and tools, some application problems are also introduced last.
Starting Page	3436
Ending Page	3441
File Size	189964
Page Count	6
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968710
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Algorithm design and analysis search algorisms Computational modeling computer games game tree model Games Search problems event game theory Mathematical model discrete event dynamic system Game theory
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Dynamic nonlinear search technologies based on military strength model in Surakarta

Discussion on Chinese Chess decision-making system with emotion

A Node-based Parallel Game Tree Algorithm Using GPUs

An improved evaluation function for Connect6

Avoiding Game-Tree Pathology in Multi-player Games

An optimal allocation approach of cooperative search capability based on game theory

Enhanced parallel NegaMax tree search algorithm on GPU

Response Gradient Estimation using Mathematical Programming Models of Discrete-Event System Sample Paths

Dynamic Randomization Enhances Monte-Carlo Go

Computer games are an efficient tool for event game theory

Similar Documents

Dynamic nonlinear search technologies based on military strength model in Surakarta

Discussion on Chinese Chess decision-making system with emotion

A Node-based Parallel Game Tree Algorithm Using GPUs

An improved evaluation function for Connect6

Avoiding Game-Tree Pathology in Multi-player Games

An optimal allocation approach of cooperative search capability based on game theory

Enhanced parallel NegaMax tree search algorithm on GPU

Response Gradient Estimation using Mathematical Programming Models of Discrete-Event System Sample Paths

Dynamic Randomization Enhances Monte-Carlo Go

Computer games are an efficient tool for event game theory