A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
The Complexities of Agent-Based Modeling Output Analysis
2015
Journal of Artificial Societies and Social Simulation
Preserved Fulltext
agent-based modellers contend with their model outputs, their statistical analysis, and visualization techniques. [1] We discuss challenges and offer examples for addressing them. ...
The proliferation of agent-based models (ABMs) in recent decades has motivated model practitioners to improve the transparency, replicability, and trust in results derived from ABMs. ...
Furthermore, our thanks go to all participants of Workshop G2 during the iEMSs 2014 Conference in San Diego.
Notes ...
doi:10.18564/jasss.2897
fatcat:fqgukhrwpjeq5aa5vomel2y5d4
The complexities of agent-based modeling output analysis
2019
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The proliferation of agent-based models (ABMs) in recent decades has motivated model practitioners to improve the transparency, replicability, and trust in results derived from ABMs. ...
Similarly, the increasing use of data and dynamics in ABMs has further enhanced the complexity of their outputs. ...
Furthermore, our thanks go to all participants of Workshop G2 during the iEMSs 2014 Conference in San Diego.
Notes ...
doi:10.15480/882.2697
fatcat:wd3pvke3ejbxhaaiv2ebqpprsa
Study on Agent-based Innovation Behavior Research Technique
2011
Procedia Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The agent-based computer simulation method is available for complex system studying. The innovation system has characters of emergence and evolution; it is also a complex system. ...
In order to build agent-based computer simulation model for innovation behavior studying, processes of question analysis, property abstract, model environment constructing, model agent building, model ...
This paper is also periodic achievement of "Research of the Innovation Difference among Industries in Jilin Province" (2011B185), which is sponsored by Social Science Foundation of Jilin Province. ...
doi:10.1016/j.proeng.2011.08.663
fatcat:qqqrv4yvivdbpo4hk3dkjlfgfi
A scheme to analyze agent-based social simulations using exploratory data mining techniques
2018
Complex Adaptive Systems Modeling
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Agent-based models simulating social reality generate outputs which result from a complex interplay of processes related to agents' rules of interaction and model's parameters. ...
An agent-based model of moderate complexity will, when run across different parameters (i.e., the total number of configurations times the number of simulation runs) generates output data that could easily ...
Acknowledgements We are thankful to the anonymous reviewers for their useful feedback and also to the reviewers of the Social Simulation 2017 conference where an earlier version of this paper was presented ...
doi:10.1186/s40294-018-0052-8
fatcat:msxpozeouzcn5mbz3zvazlrztm
CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation
[chapter]
2016
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The successful development of the CFBM consists not only in remedying the limitation of agent-based modeling and simulation with regard to data management but also in dealing with the development of complex ...
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 ...
The multi-agent analysis models are a set of tools dedicated to the analysis of multi-agent simulations, they are created based on analysis requirements and handled via the analysis interface. ...
doi:10.1007/978-3-319-46909-6_24
fatcat:nwhmiin6wba65pntwrt7lbh5by
'One Size Does Not Fit All': A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models
2020
Journal of Artificial Societies and Social Simulation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Designing, implementing, and applying agent-based models (ABMs) requires a structured approach, part of which is a comprehensive analysis of the output to input variability in the form of uncertainty and ...
Given the role of individuals in these (mostly multiscale) systems, scientists o en employ entity-based models, referred to as agent-based models (ABMs) in social sciences and engineering, and individual-based ...
They determined that regression analysis is not a complete -or even sometimes a correct -tool for analysis of the sensitivity of a model representing a complex system. ...
doi:10.18564/jasss.4201
fatcat:v3linogbsrar5kyuiz3gupvuf4
Which Sensitivity Analysis Method Should I Use for My Agent-Based Model?
2016
Journal of Artificial Societies and Social Simulation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Existing methodologies of sensitivity analysis may be insufficient for a proper analysis of Agent-based Models (ABMs). ...
This limits the information content that follows from the classical sensitivity analysis methodologies that link model output to model input. ...
The lack of fit resulting from the inherent complexity of ABMs limits the usefulness of regression-based sensitivity analysis for these models, as the systems which they are used to model are complex adaptive ...
doi:10.18564/jasss.2857
fatcat:u2alggvaz5e2rbh2eb2lxjiuyu
Reinforcement learning on complex visual stimuli
2009
BMC Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Given this complex input, the model should extract the position and direction of the agent, and the position of the target. ...
Animals are confronted with the problem of initiating motor actions based on very complex sensory input. ...
Given this complex input, the model should extract the position and direction of the agent, and the position of the target. ...
doi:10.1186/1471-2202-10-s1-p90
fatcat:gyplrnvdnnemjmnuz2mwe2fo4i
Towards Agent-Based Model Specification in Smart Grid: A Cognitive Agent-based Computing Approach
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
One way to study complex systems is by using the agent-based modeling (ABM) paradigm. An ABM is a way of representing a complex system of autonomous agents interacting with each other. ...
We propose an ABM by using a combination of agent-based and complex network-based approaches. For ABM specification, we use ODD and DREAM specification approaches. ...
The Descriptive agent-based model level is the process of presenting ABM specification in the form of pseudo-code, a complex network of the model and social network analysis. ...
arXiv:1710.03189v2
fatcat:7cnov652yngnfcq22xqfiss25q
Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward
2017
Journal of Artificial Societies and Social Simulation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Additionally, a particular challenge for model evaluation of agent-based modelling is the quality assessment of the representation of decision-making, particularly when modelling complex decisions made ...
Agent-based models (ABMs) have therefore already been widely used to study SES. However, ABMs of SES are by their very nature complex. ...
BM was supported by the German Federal Ministry of Education and Research (BMBFd LN A) within the Junior Research Group POLISES. ...
doi:10.18564/jasss.3423
fatcat:bds2dbp2yjgujishk6leskadae
Using machine learning as a surrogate model for agent-based simulations
2022
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs). ...
Analysing agent-based modelling outputs can be challenging, as the relationships between input parameters can be non-linear or even chaotic even in relatively simple models, and each model run can require ...
Introduction In this paper, we investigate the use of machine-learning-based surrogate modelling for the analysis of agent-based models (ABMs). ...
doi:10.1371/journal.pone.0263150
pmid:35143521
pmcid:PMC8830643
fatcat:6on2y5yq45dsdmx7ss5ivc64j4
Validation techniques of agent based modelling for geospatial simulations
2014
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Agent-based modelling and simulation (ABMS) is a new modelling method comprising of multiple interacting agent. ...
Because of frequent emergence patterns, strong dynamics in the system and the complex nature of ABMS, it is hard to validate and verify ABMS by conventional validation methods. ...
Some especial properties of Agent based modeling such as learning process; interactions between other agents, data independence, heterogeneity and complexity of the agents make the validation of ABM difficult ...
doi:10.5194/isprsarchives-xl-2-w3-91-2014
fatcat:w3n4tnnlqfcyfkvxmyitkxqyp4
IEEE Access Special Section Editorial: Recent Advances on Hybrid Complex Networks: Analysis and Control
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
of linear multi-agent systems based on distributed event-triggered control strategies. ...
consensus of high-order agents with unknown high-frequency gain signs (UHFGSs) in switching topologies and investigates the output leaderless consensus of heterogeneous agents with UHFGSs. ...
doi:10.1109/access.2021.3087971
fatcat:zxlj7vjlsjfifist4ivjm3qfmy
Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection
2015
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Agent-based models (ABM) are widely used to study immune systems, providing a procedural and interactive view of the underlying system. ...
Sensitivity analysis plays a vital role in quantifying the impact of modeling parameters in massively interacting systems, including large complex ABM. ...
Acknowledgments We thank our external collaborators and members of the Network Dynamics and Simulation Science Laboratory (NDSSL) and the Nutritional Immunology and Molecular Medicine Laboratory (NIMML ...
doi:10.1371/journal.pone.0136139
pmid:26327290
pmcid:PMC4556515
fatcat:yvccewop3fforhjfw6jwi5ujky
Behavioral Agent Testing of Distributed Information Systems
2020
International Workshop on Information-Communication Technologies & Embedded Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
To ensure autonomy and mobility, the agent-based check model defines the resource model of the component deployment environment, models of its goals and test strategies, signatures of multi-agent operations ...
For the cooperation of agent-based check models in the network and multi-level interaction of their reactive and deliberative components, there are cooperative definitions for resource models of placement ...
Generally, these limits are determined by exponential (NP-complex) dependences of the complexity of such an analysis from the dimension of input models [15] [16] [17] [18] [19] . ...
dblp:conf/ictes/MartynyukDSAM20
fatcat:434fnoqqm5dszaoohpi5bzjq2i
« Previous
Showing results 1 — 15 out of 346,692 results