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A Hypothesis-Driven Simulation Experiments with an Extension to SED-ML

S. Cam, H. Oguztuzun, L. Yilmaz
2022 International Journal of Simulation Modelling  
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  
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?

Yoram Vodovotz, Ashley Xia, Elizabeth L. Read, Josep Bassaganya-Riera, David A. Hafler, Eduardo Sontag, Jin Wang, John S. Tsang, Judy D. Day, Steven H. Kleinstein, Atul J. Butte, Matthew C. Altman (+2 others)
2017 Trends in immunology  
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

Sona Ghahremani, Holger Giese
2020 Computers  
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

Ben Shneiderman
2013 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement  
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

Ali Khaleghi, Mohammad Reza Mohammadi, Kian Shahi, Ali Motie Nasrabadi
2022 Clinical Psychopharmacology and Neuroscience  
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]

Jamal Munshi
2014 arXiv   pre-print
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

Alexandre CL Almeida, Anderson R Duarte, Luiz H Duczmal, Fernando LP Oliveira, Ricardo HC Takahashi
2011 International Journal of Health Geographics  
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

A.R. Alameldeen, D.A. Wood
2003 IEEE Micro  
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

Gaëtan Sanchez, Françoise Lecaignard, Anatole Otman, Emmanuel Maby, Jérémie Mattout
2016 Frontiers in Human Neuroscience  
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

Federico Gago
2004 Current Medicinal Chemistry - Anti-Cancer Agents  
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

Sara Mitri, Steffen Wischmann, Dario Floreano, Laurent Keller
2012 Biological Reviews  
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

Ton De Jong, Wouter R. Van Joolingen
1998 Review of Educational Research  
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

Ton de Jong, Wouter R. van Joolingen
1998 Review of Educational Research  
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

Byung C. Jung, Yun-Ho Shin, Sang Hyuk Lee, Young Cheol Huh, Hyunseok Oh
2020 Applied Sciences  
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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