The Journal BioSystems (Elsevier) is announcing a special issue devoted to complex systems and machine learning. It will be coordinated by Pridi Siregar (Integrative Biocomputing, Chantepie, France), Michael Lones (Heriot-Watt University, Edinburgh, Scotland, UK) and Yaochu Jin (University of Surrey, Guildford, UK).
The science of complex systems (CS) provides conceptual and computational tools to represent and model dynamic systems in the physical, chemical, biological, ecological, social and engineering realms. Complex-systems modeling (CSM) is a challenging task insofar as CSs are characterized by a large number of interacting components, chaotic behavior, non-linearities, and sensitivity to initial conditions.
Machine-learning (ML) has permeated virtually all human activities in which data-analytics is required. Although CSM lies in some sense at the opposite end of ML, methodological similarities suggest that ML can contribute to CSM. This includes estimating model variables and (hyper)parameters, specifying objective functions and goodness-of-fit criteria, and selecting optimization techniques.
This special issue invites the submission of high-quality articles focused on the definition, application and evaluation of ML methods in CS modeling.
General topics:Insights on possible cross-fertilization between ML and CSM; reviews on current applications of ML to CSM.
More specific topics:contributions of ML in identifying critical points and behavioral modes of a CS model; application of ML methods for tuning the parameter of a CS model given target behavioral modes; web-mining for relevant parameter ranges of CS models; replacing CS models by ML surrogates in specific applications such as prediction and process-control.
All accepted articles will be part of a special issue of the journal Biosystems.The deadline for manuscript submissions is October 31, 2020 with publication in early 2021.
Guide for author page: https://www.elsevier.com/journals/biosystems/0303-2647/guide-for-authors
Authors interested in participating in this special issue are requested to provide a tentative title and authorship to the guest editors before June 30, 2020.Manuscripts will be peer-reviewed following standard BioSystems journal procedures. All communications on manuscript submission and peer reviewing will be managed within the Elsevier Editorial System (EVISE). Upon manuscript submission, please indicate that your manuscript is prepared for the special issue on Complex Systems and Machine Learning. Please direct questions to any of Special Issue editors or to the Editor-in-Chief.