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Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem [chapter]

Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman (+3 others)
2019 Lecture Notes in Computer Science  
The DARPA SocialSim program set the challenge to model the evolution of GitHub, a large collaborative software-development ecosystem, using massive multi-agent simulations.  ...  It was also important to use the data optimally to predict the agent's next moves. We describe the agent framework and the data analysis employed by one of the winning teams in the challenge.  ...  FARM also keeps track of the repeated and systematic experimentation required to validate the results from multi-agent simulations.  ... 
doi:10.1007/978-3-030-24209-1_1 fatcat:ozrwqxcogjcrbkng6yaebppjeq

A Review of Platforms for the Development of Agent Systems [article]

Constantin-Valentin Pal, Florin Leon, Marcin Paprzycki, Maria Ganzha
2020 arXiv   pre-print
Agent-based computing is an active field of research with the goal of building autonomous software of hardware entities.  ...  This paper presents a up-to-date review of the existing agent platforms and also a historical perspective of this domain.  ...  Massive agent populations can be visualized in real time as agent data is already located on the GPU hardware.  ... 
arXiv:2007.08961v1 fatcat:3ddtajdqv5fftldoqobr2y6y4u

The Applicability of Self-Play Algorithms to Trading and Forecasting Financial Markets

Jan-Alexander Posth, Piotr Kotlarz, Branka Hadji Misheva, Joerg Osterrieder, Peter Schwendner
2021 Frontiers in Artificial Intelligence  
In typical use-cases of Self-Play, two AI agents play against each other in a particular game, e.g., chess or Go.  ...  The central research question to answer in this study is whether the AI methodology of Self-Play can be applied to financial markets.  ...  AUTHOR CONTRIBUTIONS All authors contributed equally to the research, writing of the manuscript, read, and agreed to the published version of the manuscript.  ... 
doi:10.3389/frai.2021.668465 pmid:34136801 pmcid:PMC8201072 fatcat:gtdidnwurbebvpx2s3nj36fvuy

Fundamental concepts in the Cyclus nuclear fuel cycle simulation framework

Kathryn D. Huff, Matthew J. Gidden, Robert W. Carlsen, Robert R. Flanagan, Meghan B. McGarry, Arrielle C. Opotowsky, Erich A. Schneider, Anthony M. Scopatz, Paul P.H. Wilson
2016 Advances in Engineering Software  
A summary of the Cyclus fuel cycle simulator framework and its modeling ecosystem are presented.  ...  Additionally, the implementation of each is discussed in the context of motivating challenges in nuclear fuel cycle simulation.  ...  Ecosystem The Cyclus community-driven software development model seeks to break the proliferation of specialized simulators.  ... 
doi:10.1016/j.advengsoft.2016.01.014 fatcat:ouiefcv3dzfqjja4ei23zw2cia

Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes

Timotheus Kampik, Amro Najjar
2020 Information  
In this paper, we explore the intersection of multi-agent simulations and consortium blockchain technology in the context of enterprise applications by devising architectures and technology stacks for  ...  both off-chain and on-chain agent-based simulation in the context of blockchain-based business process execution.  ...  Conflicts of Interest: The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results  ... 
doi:10.3390/info11010034 fatcat:7kmixt5ipbalzep4siz655acge

The Epidemiology Workbench: a Tool for Communities to Strategize in Response to COVID-19 and other Infectious Diseases [article]

Santiago Núñez-Corrales, Eric Jakobsson
2020 medRxiv   pre-print
Our calculations suggest that massive testing is the most effective strategy to combat the likely increase in local cases due to mass ingress of a student population carrying a higher viral load than that  ...  The tool is illustrated by scenarios for the cities of Urbana and Champaign, Illinois, the home of the University of Illinois at Urbana-Champaign.  ...  Acknowledgments The authors wish to thank the following individuals for their contributions and support:  ... 
doi:10.1101/2020.07.22.20159798 fatcat:gj4joq4mbjcy7ii42agswcytnq

ActressMAS, a .NET Multi-Agent Framework Inspired by the Actor Model

Florin Leon
2022 Mathematics  
Multi-agent systems show great promise in the actual state of increasing interconnectedness and autonomy of computer systems.  ...  This paper presents a .NET multi-agent framework for experimenting with agents and building multi-agent simulations.  ...  Secondly, it was found that while many multi-agent frameworks are based, e.g., on Java, not so many exist for the .NET ecosystem.  ... 
doi:10.3390/math10030382 fatcat:gemkqubhyrhxrpxzrt6zjfpsyu

Open-Source Network Optimization Software in the Open SDN/NFV Transport Ecosystem

Miquel Garrich, Francisco-Javier Moreno-Muro, Maria-Victoria Bueno Delgado, Pablo Pavon Marino
2019 Journal of Lightwave Technology  
With this goal in mind, we first focus on open software (and framework) initiatives through a set of realistic use cases that require optimization in multi-layer optical transport scenarios and ecosystems  ...  In this context, open systems that manage and orchestrate SDN/NFV-enabled networks offer programming frameworks that abstract the lowlevel particularities in the data-plane forwarding devices and in the  ...  in repositories like GitHub.  ... 
doi:10.1109/jlt.2018.2869242 fatcat:miimgey5vjckhbz3273ku7nfza

Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments -- Opportunistic Collaborative Interactive Learning

Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiss, Tobias Reitmaier, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Katharina Anna Zweig
2016 2016 IEEE International Conference on Autonomic Computing (ICAC)  
They have to decide which information or knowledge source they use at which time, depending on the quality of the information or knowledge they collect, the availability of these sources, the costs of  ...  Today, so-called "smart" or "intelligent" systems heavily rely on machine learning techniques to adjust their behavior by means of sample data (e.g., sensor observations).  ...  The simulator we used for this case study was built upon the Netlogo multi-agent simulation toolkit [55] .  ... 
doi:10.1109/icac.2016.36 dblp:conf/icac/BahleCLLOR0SSZ16 fatcat:li6g7simqvbypfomb5db6iielm

ERMrest: an entity-relationship data storage service for web-based, data-oriented collaboration [article]

Karl Czajkowski, Carl Kesselman, Robert Schuler, Hongsuda Tangmunarunkit
2016 arXiv   pre-print
While the details vary from domain to domain, these data often consist of diverse digital assets (e.g. image files, sequence data, or simulation outputs) that are organized with complex relationships and  ...  We present the design criteria, architecture, and service implementation, as well as describe an ecosystem of tools and services that we have created to integrate metadata into an end-to-end scientific  ...  The work presented in this paper was funded by the National Institutes of Health under awards 5U54EB020406, 1R01MH107238-01, 5U01DE024449 and 1U01DK107350 and by the GPCR Consortium.  ... 
arXiv:1610.06044v1 fatcat:oipknmkxivbk3pif5i3wofhspu

A Serious Gaming Approach for Crowdsensing in Urban Water Infrastructure with Blockchain Support

Alexandru Predescu, Diana Arsene, Bogdan Pahonțu, Mariana Mocanu, Costin Chiru
2021 Applied Sciences  
The mathematical model of distance-constrained multi-depot vehicle routing problem with heterogeneous fleet capacity is evaluated in the context of the proposed scenario, with random initial conditions  ...  The proposed solution focuses on serious games applied in urban water management from the perspective of mobile crowdsensing, with a reward-driven mechanism defined for the crowdsensing tasks.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11041449 fatcat:mrphqevzx5fc7brb34pxcpvxvi

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs [article]

Francesc Wilhelmi, Jernej Hribar, Selim F. Yilmaz, Emre Ozfatura, Kerem Ozfatura, Ozlem Yildiz, Deniz Gündüz, Hao Chen, Xiaoying Ye, Lizhao You, Yulin Shao, Paolo Dini (+1 others)
2022 arXiv   pre-print
To unleash the potential of such new features, artificial intelligence (AI) and machine learning (ML) are currently being exploited for deriving models and protocols from data, rather than by hand-programming  ...  The set of FL solutions overviewed in this work is part of the 2021 International Telecommunication Union (ITU) AI for 5G Challenge.  ...  The authors would like to thank enormously everyone that made possible the ITU AI for 5G Challenge, with special mention to Vishnu Ram OV, Reinhard Scholl, and Thomas Basikolo.  ... 
arXiv:2203.10472v2 fatcat:lcbcnyaqufeyzaqgcs4y23uiyu

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale

Giovanni Agosta, Daniele Cattaneo, William Fornaciari, Andrea Galimberti, Giuseppe Massari, Federico Reghenzani, Federico Terraneo, Davide Zoni, Carlo Brandolese, Massimo Celino, Francesco Iannone, Paolo Palazzari (+39 others)
2021 2021 24th Euromicro Conference on Digital System Design (DSD)  
Acknowledgements This work is supported by the TEXTAROSSA project G.A. n.956831, as part of the EuroHPC initiative.  ...  to support concurrent execution of multiple communicating tasks in a multi-agent ecosystem; 2) Relaxing the requirement of a single shared data space, in order to allow for hybrid workflow executions on  ...  HEP community has built a collection of high-level SW frameworks largely used for simulation and data analysis of the LHC experiments.  ... 
doi:10.1109/dsd53832.2021.00051 fatcat:tvsivkak5vgphc35ie5ow7kip4

Outbreak Simulation - High Fidelity Synthetic Population Generation and Agent-Based Models

Alfred Mountfield
2022 Zenodo  
Utilising open-source data like OpenStreetMap, WorldPop population maps, road-maps, and public-transport graphs, allows the model to achieve higher levels of fidelity and complexity in comparison to similar  ...  A report outlining a novel approach to synthetic population generation for the use in agent-based models, and an accompanying high-fidelity agent-based model.  ...  To Henry Delamain for conversations and for providing notes of meetings where I took none.  ... 
doi:10.5281/zenodo.6345347 fatcat:ntxd7ddslbd3zkl3dr2iut2h5i

Unitarism vs. Individuality and a New Digital Agenda: The Power of Decentralized Web

Anastassia Lauterbach
2021 Frontiers in Human Dynamics  
Besides, it discusses advantages of data-tokens to shape a new ecosystem for decentralized data exchange.  ...  in decentralized data technologies, introducing concepts of Data Trusts and compulsory education around data starting from the early school age.  ...  The Ocean Protocol 5 , developed in Berlin, creates a kind of decentralized orchestration layer between the various participants in the ecosystem, whether data owners, data agents, software developers,  ... 
doi:10.3389/fhumd.2021.626299 fatcat:4gpomxarmjdsrb6zwe435vaili
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