Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic links in README
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary
Last synced: 11 months ago
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JSON representation
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Repository
research notes for SYD
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 10 years ago
· Last pushed almost 10 years ago
Metadata Files
Citation
Owner
- Name: Francis Tseng
- Login: frnsys
- Kind: user
- Location: Brooklyn, NY
- Company: ( ˘▽˘)っ♨
- Website: http://frnsys.com
- Repositories: 382
- Profile: https://github.com/frnsys
(〜 ̄▽ ̄)〜☆゚*・。*・*・。*・
Citation (citations.md)
- Antelmi, A., Cordasco, G., Spagnuolo, C. & Vicidomini, L. (2015). On Evaluating Graph Partitioning Algorithms for Distributed Agent Based Models on Networks. _European Conference on Parallel Processing_. - Bharti, R. (2016). HIVE - An Agent Based Modeling Framework. _Master's Projects_. - Chenney, S. (2001). Simulation Level-of-Detail. _Game Developers Conference_. - Chenney, S. Simulation Culling and Level-of-Detail. _IEEE Computer Graphics and Applications_. - Chenney, S., Arikan, O. & Forsyth, D. (2001). Proxy Simulations for Efficient Dynamics. _EUROGRAPHICS_. - Chris Rouly, O. (2014). Midwife: CPU cluster load distribution of Virtual Agent AIs. _Complex, Intelligent and Software Intensive Systems (CISIS)_. - He, M., Ruan, H. & Yu, C. (2003). A Predator-Prey Model Based on the Fully Parallel Cellular Automata. _International Journal of Modern Physics C_. - Holcombe, M., Coakley, S., Kiran, M., Chin, S., Greenough, C., Worth, D., Cincotti, S., Raberto, M., Teglio, A., Deissenberg, C., van der Hoog, S., Dawid, H., Gemkow, S., Harting, P. & Neugart, M. (2013). Large-Scale Modeling of Economic Systems. _Complex Systems, 22_. - K. Bansal, A. (2006). Incorporating Fault Tolerance in Distributed Agent Based Systems by Simulating Bio-computing Model of Stress Pathways. _Proceedings of SPIE, 6201_. - K. Som, T. & G. Sargen, R. (2000). Model Structure and Load Balancing in Optimistic Parallel Discrete Event Simulation. _Proceedings of the Fourteenth Workshop on Parallel and Distributed Simulation_. - Kim, I., Tsou, M. & Feng, C. (2015). Design and implementation strategy of a parallel agent-based Schelling model. _Computers, Environment and Urban Systems, 49_(2015), pp. 30-41. - Kubalík, J., Tichý, P., Šindelář, R. & J. Staron, R. (2010). Clustering Methods for Agent Distribution Optimization. _IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)_. - Lees, M., Logan, B., Oguara, T. & Theodoropoulos, G. (2004). Simulating Agent-Based Systems with HLA: The Case of SIM_AGENT - Part II. _International Conference on Computational Science_. - Logan, B. & Theodoropoulos, G. (2001). The Distributed Simulation of Multi-Agent Systems. _Proceedings of the IEEE, 89_(2). - Lysenko, M. & M. D'Souza, R. (2008). A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units. _Journal of Artificial Societies and Social Simluation, 11_(4/10). <http://jasss.soc.survey.ac.uk/11/4/10.html>. - Márquez, C., César, E. & Sorribes, J. (2015). Graph-Based Automatic Dynamic Load Balancing for HPC Agent-Based Simulations. _European Conference on Parallel Processing_. - Navarro, L., Flacher, F. & Corruble, V. (2011). Dynamic Level of Detail for Large Scale Agent-Based Urban Simulations. _Proceedings of 10th International Conference on Autonomous Agents and Multiagent Systems_, pp. 701-708. - Oey, M., van Splunter, S., Ogston, E., Warnier, M. & M.T. Brazier, F. (2010). A Framework for Developing Agent-Based Distributed Applications. _BNAIC 2010: 22rd Benelux Conference on Artificial Intelligence_. - Pleisch, S. & Schiper, A. (2000). Modeling Fault-Tolerant Mobile Agent Execution as a Sequence of Agreement Problems. _Reliable Distributed Systems_. - Richiardi, M. & Fagiolo, G. (2014). Empirical Validation of Agent-Based Models. - Rousset, A., Herrmann, B., Lang, C. & Philippe, L. (2015). A communication schema for parallel and distributed Multi-Agent Systems based on MPI. _European Conference on Parallel Processing_. - Rubio-Campillo, X. (2014). Pandora: A Versatile Agent-Based Modelling Platform for Social Simulation. _SIMUL 2014: The Sixth International Conference on Advances in System Simulation_. - Scheutz, M. & Schermerhorn, P. (2006). Adaptive Algorithms for the Dynamic Distribution and Parallel Execution of Agent-Based Models. _Journal of Parallel and Distributed Computing_. - Sunshine-Hill, B. (2013). Managing Simulation Level-of-Detail with the LOD Trader. _Motion in Games_. - Tsugawa, S., Ohsaki, H. & Imase, M. (2012). Lightweight Distributed Method for Connectvity-Based Clustering Based on Schelling's Model. _26th International Conference on Advanced Information Networking and Applications Workshops_. - Vecchiola, C., Grosso, A., Passadore, A. & Boccalatte, A. (2009). AgentService: A Framework for Distributed Multi-Agent System DEvelopment. _International Journal of Computers and Applications, 31_(3), pp. 204-210.
GitHub Events
Total
Last Year
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Francis Tseng | f****s@f****m | 1 |
Committer Domains (Top 20 + Academic)
frnsys.com: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0