NDLI: Weighted SCAN for modeling cooperative group role dynamics

Content Provider	IEEE Xplore Digital Library
Author	Chertov, A. Kobti, Z. Goodwin, S.D.
Copyright Year	2010
Description	Author affiliation: School of Computer Science at the University of Windsor, Ontario, N9B-3P4 Canada (Chertov, A.; Kobti, Z.; Goodwin, S.D.)
Abstract	Social agents have the ability of communicating and forming groups with each other. Group members in games typically share the same role. In dynamic environments with the presence of obstacles and barriers separating members from each other presents a situation where a member separated from the rest of the group, while still a member of that group, should not have the same role or updates of the rest of the group due to the physical distance presented by the obstacles. This study introduces a weighted version of the SCAN and hierarchical SCAN graph clustering algorithms which are essentially based on neighbors. The autonomous agent players in spatial strategy game scenarios tested with the weighted SCAN have demonstrated an improved realistic behaviour in the social test settings.
Starting Page	17
Ending Page	22
File Size	260967
Page Count	6
File Format	PDF
ISBN	9781424462957
e-ISBN	9781424462964
DOI	10.1109/ITW.2010.5593378
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-18
Publisher Place	Denmark
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Clustering algorithms Games Classification algorithms Partitioning algorithms Complexity theory Joining processes
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 Libarray 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

Weighted scan for modeling cooperative group role dynamics.

A PROBE-Based Heuristic for Graph Partitioning

Adversarial Cooperative Path-Finding: Complexity and Algorithms

Hierarchical label partitioning for large scale classification

ADTHA: The improvement of clustering algorithm

A Weighted Partitioning Dynamic Clustering Algorithm for Quantitative Feature Data Based on Adaptive Euclidean Distances

Comparison of fuzzy clustering algorithms for classification

Fast distributed graph partition and application

Distance-constrained data clustering by combined k-means algorithms and opinion dynamics filters

Weighted SCAN for modeling cooperative group role dynamics

Similar Documents

Weighted scan for modeling cooperative group role dynamics.

A PROBE-Based Heuristic for Graph Partitioning

Adversarial Cooperative Path-Finding: Complexity and Algorithms

Hierarchical label partitioning for large scale classification

ADTHA: The improvement of clustering algorithm

A Weighted Partitioning Dynamic Clustering Algorithm for Quantitative Feature Data Based on Adaptive Euclidean Distances

Comparison of fuzzy clustering algorithms for classification

Fast distributed graph partition and application

Distance-constrained data clustering by combined k-means algorithms and opinion dynamics filters

Weighted SCAN for modeling cooperative group role dynamics