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To Calibrate & Validate an Agent-based Simulation Model - An Application of the Combination Framework of BI Solution & Multi-agent Platform

Thai Minh Truong, Frédéric Amblard, Benoit Gaudou, Christophe Sibertin-Blanc
2014 Proceedings of the 6th International Conference on Agents and Artificial Intelligence  
In this paper, we propose a calibration and validation approach for an agent-based model, using a Combination Framework of Business intelligence solution and Multi-agent platform (CFBM).  ...  Furthermore, calibration and validation are also challenges for Agent-Based Modelling and Simulation (ABMS) approaches when the model has to work with integrated systems involving high volumes of input  ...  COMBINATION FRAMEWORK OF BUSINESS INTELLIGENCE SOLUTION AND MULTI-AGENT PLATFORM (CFBM) In this section, we demonstrate the logical framework to combine BI solution and Multi-agent platform.  ... 
doi:10.5220/0004820401720183 dblp:conf/icaart/TruongAGS14 fatcat:aiwvff4rpjg75caee7drvsrpfy

CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation [chapter]

Thai Minh Truong, Frédéric Amblard, Benoit Gaudou, Christophe Sibertin Blanc
2016 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
The introduced framework is based on the combination of Business Intelligence solution and a multi-agent based platform called CFBM (Combination Framework of Business intelligence and Multi-agent based  ...  Recently, there has been a shift from modeling driven approach to data driven approach in Agent Based Modeling and Simulation (ABMS).  ...  Thanks to the combination of BI solution and multi-agent based simulation platform, CFBM can help us to integrate empirical and simulated data (cf. Section 3).  ... 
doi:10.1007/978-3-319-46909-6_24 fatcat:nwhmiin6wba65pntwrt7lbh5by

A new simulation framework for pedestrian dynamics: modelling and calibration

Carlo Liberto, Marialisa Nigro, Stefano Carrese, Livia Mannini, Gaetano Valenti, Cristiano Zarelli
2020 IET Intelligent Transport Systems  
In this study, they focus on the implementation and calibration of an agent-based model that microscopically simulates the interactions between individuals and with the environment.  ...  In this context, the authors deem crucial to build a pedestrian dynamics simulation framework that they can completely control, from the modelling and calibration under different flow conditions to the  ...  Acknowledgments The authors acknowledge funding from the Italian Ministry of Education, University and Research (MIUR), in the frame of the Departments of Excellence Initiative 2018-2022, attributed to  ... 
doi:10.1049/iet-its.2019.0677 fatcat:bp3wbbofvvf6dare4frv374eqy

Multi-agent Multi-Model Simulation of Smart Grids in the MS4SG Project [chapter]

Julien Vaubourg, Yannick Presse, Benjamin Camus, Christine Bourjot, Laurent Ciarletta, Vincent Chevrier, Jean-Philippe Tavella, Hugo Morais
2015 Lecture Notes in Computer Science  
This paper describes the use of MECSYCO as a valid approach to integrate these heterogeneous models in a multiagent smart grid simulation platform.  ...  This paper illustrates how the multi-agent approach, or paradigm, can help in the modeling and the simulation of smart grids in the context of MS4SG (a joint project between LORIA-INRIA and EDF R&D).  ...  Acknowledgement This work is partially funded by EDF R&D through the strategic project MS4SG.  ... 
doi:10.1007/978-3-319-18944-4_20 fatcat:62ctmwjhjbezjfj46p5daxbgpa

D1.1 Life Sciences Use Case: Initial Requirements and Scenario Definitions

Project Consortium Members
2019 Zenodo  
The development of such a framework will facilitate the design, test, and optimization of cancer treatments based on combinations of different drugs and dose scheduling strategies.  ...  Moreover, interactive learning techniques will be used to assist the calibration of such in-silico models.  ...  With multi-scale agent-based models? ○ To what extent do multi-scale agent-based simulations of tumoural cell growth relate to your projects/work?  ... 
doi:10.5281/zenodo.4034013 fatcat:milq75kbjzeqtocterjowkl5iy

An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation

Yuanhao Qu, Minghao Yang, Jiaqing Zhang, Wu Xie, Baohua Qiang, Jinlong Chen
2021 Sensors  
Indoor autonomous navigation refers to the perception and exploration abilities of mobile agents in unknown indoor environments with the help of various sensors.  ...  the mainstream technologies of multi-sensor fusion methods, including various combinations of sensors and several widely recognized multi-modal sensor datasets.  ...  The model combines a CNN and recurrent neural network (RNN) framework which is tailored to the task of VIO estimation.  ... 
doi:10.3390/s21051605 pmid:33668886 pmcid:PMC7956205 fatcat:7twh225phbbupjd4fv2fw6twum

A Middleware-Based Approach for Multi-Scale Mobility Simulation

Xavier Boulet, Mahdi Zargayouna, Gérard Scemama, Fabien Leurent
2021 Future Internet  
They also suggest that, to have a maximal benefit from the middleware, existing mobility simulation platforms should allow for an external control of the simulations, allowing for executing a time step  ...  In this paper, we advocate for the reuse of existing simulations to build a new multi-scale simulation.  ...  Data Availability Statement: Data available on request due to privacy restrictions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi13020022 fatcat:4c2bstzqurcahm6dbdrgjd6q3i

Learning in Multi-Stage Decentralized Matching Markets [article]

Xiaowu Dai, Michael I. Jordan
2021 arXiv   pre-print
We demonstrate aspects of the theoretical predictions through simulations and an experiment using real data from college admissions.  ...  We propose an efficient algorithm, built upon concepts of "lower uncertainty bound" and "calibrated decentralized matching," for maximizing the participants' expected payoff.  ...  Based on the calibrated state, an agent selects arms with the largest lower uncertainty bounds of the expected utility.  ... 
arXiv:2102.06988v3 fatcat:sdgfxruv5vbbxpdqnx32m4seiq

Integrated design of transport infrastructure and public spaces considering human behavior: A review of state-of-the-art methods and tools

Liu Yang, Koen H. van Dam, Arnab Majumdar, Bani Anvari, Washington Y. Ochieng, Lufeng Zhang
2019 Frontiers of Architectural Research  
This article explores mechanisms underlying the complex system of transport, spaces, and humans from a multidisciplinary perspective to provide an integrated toolkit for designers, planners, modelers and  ...  Finally, this paper gives a review of state-of-the-art tools with a focus on seven computer simulation paradigms.  ...  Acknowledgements The research is based on a joint-PhD program between the University of Chinese Academy of Sciences (UCAS) and Imperial College London (ICL) and partially supported by a scholarship offered  ... 
doi:10.1016/j.foar.2019.08.003 fatcat:gvb7uadsinf5lb4hbuc4faidbq

Agent-based models in translational systems biology

Gary An, Qi Mi, Joyeeta Dutta-Moscato, Yoram Vodovotz
2009 Wiley Interdisciplinary Reviews: Systems Biology and Medicine  
This review describes agent-based modeling and gives examples of its translational applications in the context of acute inflammation and wound healing.  ...  The ability of agentbased modeling to encompass multiple scales of biological process as well as spatial considerations, coupled with an intuitive modeling paradigm, suggests that this modeling framework  ...  (NIDRR) grant H133E070024; by National Science Foundation (NSF) grant 0829864; by the Commonwealth of Pennsylvania; by a the Pittsburgh Tissue Engineering Initiative; and by a Shared University Research  ... 
doi:10.1002/wsbm.45 pmid:20835989 pmcid:PMC3640333 fatcat:urdjb5vhnzh63c5e3or4dw6mle

Modeling, Evaluation, and Scale on Artificial Pedestrians

Francisco Martinez-Gil, Miguel Lozano, Ignacio García-Fernández, Fernando Fernández
2017 ACM Computing Surveys  
Then, the main existing validation methods, oriented to evaluate the behavioural quality of the simulation systems, are reviewed.  ...  We have used three main axes to organise the paper contents: pedestrian models, validation techniques and multiscale approaches.  ...  Acknowledgment The authors want to thank the anonymous reviewers for their helpful feedback. This work has been supported by grant TIN2015-65686-C5-1-R of Ministerio de Economía y Competitividad.  ... 
doi:10.1145/3117808 fatcat:ztlc3tejdrgfnjtelv3r52354i

Multiscale Agent-Based and Hybrid Modeling of the Tumor Immune Microenvironment

Kerri-Ann Norton, Chang Gong, Samira Jamalian, Aleksander Popel
2019 Processes  
Agent-based modeling is an effective methodology to obtain and understand quantitative characteristics of these processes and to propose clinical solutions aimed at overcoming the current obstacles in  ...  In this review, we summarize the state of the art in the applications of agent-based models (ABM) and hybrid modeling to the tumor immune microenvironment and cancer immune response, including immunotherapy  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/pr7010037 pmid:30701168 pmcid:PMC6349239 fatcat:gnzbrq55crh43ethwn7olrlkmu

Semantic Knowledge-Based Framework to Improve the Situation Awareness of Autonomous Underwater Vehicles

Emilio Miguelanez, Pedro Patron, Keith E. Brown, Yvan R. Petillot, David M. Lane
2011 IEEE Transactions on Knowledge and Data Engineering  
The results of this paper are readily applicable to land and air robotics.  ...  This will enhance interoperability, independence of operation, and situation awareness of the embedded service-oriented agents for autonomous platforms.  ...  ACKNOWLEDGEMENTS Our thanks to the members of the Ocean Systems Laboratory for their inputs and helpful critique.  ... 
doi:10.1109/tkde.2010.46 fatcat:rnzqdzhqknhsvhg7i2kxhrx3ge

Investigating biocomplexity through the agent-based paradigm

H. Kaul, Y. Ventikos
2013 Briefings in Bioinformatics  
The integration of any agent-based framework with continuum models is arguably the most elegant and precise way of representing biological systems.  ...  In this article, we explore the reasons that make agent-based modelling the most precise approach to model biological systems that tend to be non-linear and complex.  ...  Multi-agent systems, a variant of agent-based models, fit nicely into this problem and with their application it has become possible to understand the self-organization behaviour of stem cells and deal  ... 
doi:10.1093/bib/bbt077 pmid:24227161 pmcid:PMC4293376 fatcat:vrogyreosjaqjjl5is3qzpccq4

Rethinking the ABCs: Agent-Based Models and Complexity Science in the age of Big Data, CyberGIS, and Sensor Networks - Proceedings of GIScience 2016 Workshop on Agent-Based Models and Complexity Science

Daniel G. Brown, Eun-Kyeong Kim, Liliana Perez, Raja Sengupta
2016 Zenodo  
Challenges include parameterization of complex models with volumes of georeferenced data being generated, scale model applications to realistic simulations over broader geographic extents, explore the  ...  A broad scope of concepts and methodologies from complexity science – including Agent-Based Models, Cellular Automata, network theory, chaos theory, and scaling relations – has contributed to a better  ...  Alternatively, an agent-based model (ABM) can be used as a virtual laboratory to simulate these patterns and better understand complexity of the infestation dynamics and its control with natural predators  ... 
doi:10.5281/zenodo.2566631 fatcat:2gd46krddrbhfe3y5nx24e7w64
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