tailieunhanh - Báo cáo y học: " Relational grounding facilitates development of scientifically useful multiscale models"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài:Relational grounding facilitates development of scientifically useful multiscale models | THEORETICAL BIOLOGY AND MEDICAL MODELLING Relational grounding facilitates development of scientifically useful multiscale models Hunt et al. Hunt et al. Theoretical Biology and Medical Modelling 2011 8 35 http content 8Z1 35 27 September 2011 BioMed Central Hunt et al. Theoretical Biology and Medical Modelling 2011 8 35 http content 8 1 35 THEORETICAL BIOLOGY AND MEDICAL MODELLING REVIEW Open Access Relational grounding facilitates development of scientifically useful multiscale models C Anthony Hunt1 Glen EP Ropella2 Tai ning Lam3 and Andrew D Gewitz4 Correspondence department of Bioengineering and Therapeutic Sciences University of California San Francisco CA 94143 USA Full list of author information is available at the end of the article Abstract We review grounding issues that influence the scientific usefulness of any biomedical multiscale model MSM . Groundings are the collection of units dimensions and or objects to which a variable or model constituent refers. To date models that primarily use continuous mathematics rely heavily on absolute grounding whereas those that primarily use discrete software paradigms . object-oriented agentbased actor typically employ relational grounding. We review grounding issues and identify strategies to address them. We maintain that grounding issues should be addressed at the start of any MSM project and should be reevaluated throughout the model development process. We make the following points. Grounding decisions influence model flexibility adaptability and thus reusability. Grounding choices should be influenced by measures uncertainty system information and the nature of available validation data. Absolute grounding complicates the process of combining models to form larger models unless all are grounded absolutely. Relational grounding facilitates referent knowledge embodiment within computational mechanisms but requires separate model-to-referent mappings. .