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A Hypothesis-Driven Simulation Experiments with an Extension to SED-ML
2022
International Journal of Simulation Modelling
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In this study, we strive to illustrate how to support simulation experimentation with hypotheses as a scientific workflow through GMM with an extension to the Simulation Experiment Description Mark-up ...
In particular, we present a megamodel built to serve as a repository to manage the artefacts employed in a simulation experiment. ...
Altogether, our study for hypothesis-based experiment design connects experimental design, model, and hypotheses in a single process with a widely acknowledged simulation experiment description language ...
doi:10.2507/ijsimm21-1-583
fatcat:lij6iliz4beqlmsv33le5q7tcm
Page 36 of Biological Reviews Vol. 88, Issue 1
[page]
2013
Biological Reviews
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Currently.
much of the work in biology consists of hypothesis-driven
experiments with researchers designing experiments to test a specific hypothesis. ...
The shift from exploratory to hypothesis-driven experi- ments is to a large extent due to a recent increase in studies using mixed models. ...
Solving Immunology?
2017
Trends in immunology
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Gaps remain in data, and disagreements persist about the value of mechanistic modeling for immunology. ...
High-content and high-throughput analysis technologies, concomitantly with data-driven and mechanistic modeling, hold promise for systematic interrogation of these complex pathways. ...
We thank the many attendees and participants in the workshop for their input and Jill Gregory for creating the illustrations. ...
doi:10.1016/j.it.2016.11.006
pmid:27986392
pmcid:PMC5695553
fatcat:frk2t64wsnbilm4ojuuzcmxozi
Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements
2020
Computers
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To further study the impact of the identified limitations, we present experiments demonstrating that wrong assumptions regarding the characteristics of the failure occurrences can result in large performance ...
In this paper, we first study the state-of-the-art for evaluating the performances of self-healing systems by means of a systematic literature review. ...
and employed in the experiments of this study. ...
doi:10.3390/computers9010016
fatcat:efuq74f6iraaxex3eizcuf46lm
High impact research: Blending basic and applied methods
2013
2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement
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Contextual
• Controlled
Interventions
Experiments
& Case Studies
• Laboratory
Situated
• Natural World
Made World
• Hypothesis Testing Hypothesis Testing
• Predictive Theories Predictive ...
, IEEE Computer 1998)
• Observational
• Project monitoring 1
NO EXPERIMENTATION 167
• Case study
58
• Assertion
192
• Field study
7
• Historical
• Literature search 17
• Legacy data ...
doi:10.1109/esem.2013.63
dblp:conf/esem/Shneiderman13
fatcat:xlf5binntvfftkigyabfyco62y
Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches
2022
Clinical Psychopharmacology and Neuroscience
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Computational neuroscience approach to psychiatry integrates multiple levels and types of simulation, analysis and computation according to the different types of computational models to enhance comprehending ...
In this review, we focus on recent advances in theory-driven approaches that mathematically and mechanistically examine the relationships between disorder-related changes and behavior at different level ...
Computational modeling research process to simulate and study biological systems. ...
doi:10.9758/cpn.2022.20.1.26
pmid:35078946
pmcid:PMC8813324
fatcat:dlvyukxl35fixlz2auk5y6urea
A method for comparing chess openings
[article]
2014
arXiv
pre-print
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The results are intuitively appealing and in some cases they agree with expert opinion. ...
The specific contribution of this work is the development of an objective measure that may be used for the evaluation and refutation of chess openings, a process that had been left to thought experiments ...
Also, as in all experimental studies, we may have gained precision possibly at the expense of realism. ...
arXiv:1402.6791v3
fatcat:f6e6kvx46bdibgp4dghszfhl5a
Data-driven inference for the spatial scan statistic
2011
International Journal of Health Geographics
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This question is especially important when the pvalue computed by the usual inference process is near the alpha significance level, regarding the correctness of the decision based in this inference. ...
However, as is shown in this work, this adjustment is not done in an even manner for all possible cluster sizes. ...
It was verified experimentally that this adjustment was adequate, for all cluster sizes in several different maps. ...
doi:10.1186/1476-072x-10-47
pmid:21806835
pmcid:PMC3161833
fatcat:ghshvkvcunhuvpmiwbder77n4a
Addressing workload variability in architectural simulations
2003
IEEE Micro
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Wood has a significant financial interest in Sun Microsystems, Inc. ...
This work is supported in part by the National Science Foundation with grants CCR-0324878, EIA-0205286, and EIA-9971256, a Wisconsin Romnes Fellowship (Wood) and donations from IBM, Intel, and Sun Microsystems ...
Although more conservative than hypothesis testing, confidence intervals are more convenient to use in architectural simulation studies. ...
doi:10.1109/mm.2003.1261392
fatcat:wdetgrxs4zh2fp2vszzrileghm
Active SAmpling Protocol (ASAP) to Optimize Individual Neurocognitive Hypothesis Testing: A BCI-Inspired Dynamic Experimental Design
2016
Frontiers in Human Neuroscience
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In the meantime, cognitive neuroscience studies, which make extensive use of functional exploration techniques, have evolved toward model-based experiments and fine hypothesis testing protocols. ...
Based upon Bayesian inference, ASAP proposes a generic and principled way to optimize experimental design adaptively. In this perspective paper, we summarize the main steps in ASAP. ...
We advocate that its application may trigger a paradigm shift in cognitive neuroscience by promoting hypothesis-driven and individuallytailored experiments that will be optimized both in terms of their ...
doi:10.3389/fnhum.2016.00347
pmid:27458364
pmcid:PMC4935789
fatcat:krfogwxpyncmxil2mbpaydheny
Modelling and Simulation: A Computational Perspective in Anticancer Drug Discovery
2004
Current Medicinal Chemistry - Anti-Cancer Agents
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not only in the design and interpretation of hypothesis-driven experiments in the field of cancer research but also in the rapid generation of new hypotheses. ...
The results obtained yield information that sometimes is beyond current experimental possibilities and can be used to guide and improve a vast array of experiments. ...
Due to their fastness, they will aid not only in the design and interpretation of hypothesis-driven experiments but also in the rapid generation of new hypotheses. ...
doi:10.2174/1568011043352786
pmid:15379692
fatcat:k647kkjeibgwnezsnswe3jcmqa
Using robots to understand social behaviour
2012
Biological Reviews
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We find that robots -whether studied in groups of simulated or physical robots, or used to infiltrate and manipulate groups of living organisms -have importantadvantagesoverconventionalindividual-basedmodelsandhavecontributedmuchtothestudy ...
A major challenge in studying social behavior stems from the need to disentangle the behavior of each individual from the resulting collective. ...
The study also demonstrates a trade
Figure 3 . 3 Figure 3: Histogram of the number of hypothesis-driven versus exploratory studies overthelast2decades.
hypothesis-driven experiments. ...
doi:10.1111/j.1469-185x.2012.00236.x
pmid:22816672
fatcat:pbooj2635jeg3bpjm3yjoutgqe
Scientific Discovery Learning with Computer Simulations of Conceptual Domains
1998
Review of Educational Research
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A computer simulation is a type of computer-based environment that is very suited for discovery learning, the main task of the learner being to infer, through experimentation, characteristics of the model ...
In this article we give a review of the observed effectiveness and efficiency of discovery learning in simulation environments together with problems that learners may encounter in discovery learning, ...
This suggests a potential use of computer simulation that differs from the classical hypothesis driven approach. ...
doi:10.3102/00346543068002179
fatcat:ochftcof4jfgzm2ueeirkjfxcy
Scientific Discovery Learning with Computer Simulations of Conceptual Domains
1998
Review of Educational Research
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A computer simulation is a type of computer-based environment that is very suited for discovery learning, the main task of the learner being to infer, through experimentation, characteristics of the model ...
In this article we give a review of the observed effectiveness and efficiency of discovery learning in simulation environments together with problems that learners may encounter in discovery learning, ...
This suggests a potential use of computer simulation that differs from the classical hypothesis driven approach. ...
doi:10.2307/1170753
fatcat:z4klawsh6vhyjbvo57byiakvbe
A Response-Adaptive Method for Design of Validation Experiments in Computational Mechanics
2020
Applied Sciences
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For model verification and validation (V & V) in computational mechanics, a hypothesis test for the validity check (HTVC) is useful, in particular, with a limited number of experimental data. ...
To address the challenge, this paper proposes a new method to design validation experiments, response-adaptive experiment design (RAED). ...
Conclusions This paper presented a new method to design validation experiments called response-adaptive experiment design (RAED) for computational models in mechanics. ...
doi:10.3390/app10020647
fatcat:dvx5gyyocnfh3di7zjrerocgie
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