Scientific Visualisation Epistemic Weight and Surpluses.
Title:
Scientific Visualisation Epistemic Weight and Surpluses.
Author:
Richter, Marianne Ina.
ISBN:
9783653031669
Personal Author:
Publication Information:
Frankfurt : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2014.
Physical Description:
1 online resource (265 pages)
General Note:
4.2.2.3 What is a symbol system?
Contents:
Cover; Table of Contents; Abbreviations and Acronyms; Table of Figures; List of Tables; Preface; I Introduction; II Picture-like Means in Science; 2.1 'Figure' -- 'Image' -- 'Picture'; 2.1.1 Extended definition; 2.1.2 Specifications; 2.1.2.1 History-based specification; 2.1.2.2 Case-based specification; 2.1.2.3 Exclusive concept-based specification; 2.1.2.4 Inclusive concept-based specification; 2.1.3 Lessons learned; 2.2 An epistemic account of picture-like means; 2.2.1.1 Defining 'epistemic'; 2.2.1 Epistemic problems; 2.2.1.2 Analysing 'function' and functions.
2.2.1.3 Desiderata: epistemic weight and epistemic surpluses2.2.2 Figures and picture-likeness; 2.2.2.1 What are scientific figures?; 2.2.2.2 What makes scientific figures 'picture-like'?; 2.3 Picture-like means in science as a philosophical problem; 2.3.1 The failure of the purely linguistic view of representation; 2.3.2 The role of picture-like means in recent accounts of science; 2.3.3 Techno-science and the emergence of scientific visualisation; III Examples; 3.1 Example 1: modelling mesenchymal stem cell differentiation; 3.1.1 Research objectives; 3.1.2 Motivators.
3.1.3 Initial assumptions (a)3.1.4 Initial assumptions (b); 3.1.5 Model; 3.1.6 Stability properties; 3.1.7 Bifurcation properties; 3.1.8 Single cell switching; 3.1.9 Cell population effects; 3.1.10 Discussion; 3.2 Example 2: modelling signal transduction in mammal cells; 3.2.1 Research objectives and motivators; 3.2.2 Related work; 3.2.3 Techniques combined; 3.2.4 Schematic illustration of the cell model; 3.2.5 Rendering scheme for proteins and trajectories; 3.2.6 Rendering scheme for reactions; 3.2.7 Tractability measures: cuts and transections; 3.2.8 Tractability measures: depth cues.
3.2.9 Alternative rendering: microscopy-like images3.2.10 Application I: transduction types for MAPK; 3.2.11 Application II: delivery of drug molecules; 3.2.12 Technical aspects; 3.2.13 Results; 3.2.14 Conclusion and future work; 3.3 Abstractions; 3.3.1 Functional involvement of figures; 3.3.2 Practical implications of figure-likeness; 3.3.3 Methodological relevance of figures; 3.3.4 Compositional and representational aspects of figures; 3.3.5 Observations on the prevalence of figures; IV Epistemic Weight and Epistemic Surpluses; 4.1 Recent accounts of picture-like means in science.
4.1.1 Operational accounts: analysing modes of implementation4.1.2 Ontological accounts: analysing traits of occurrence or identification; 4.1.3 Functional accounts: analysing practical embeddings; 4.1.4 Interim summary; 4.2 An extended argument for the epistemic weight of picture-like means; 4.2.1 The role of picture-like means; 4.2.1.1 Picture-like means as arguments; 4.2.1.2 Picture-like means in mere support of arguments; 4.2.1.3 Picture-like means in arguments; 4.2.2 Picture-likeness revisited; 4.2.2.1 Learning from misconceptions; 4.2.2.2 From referential systems towards symbol systems.
Abstract:
Much of the recent confidence in the future of science and technology stems from advances in scientific visualisation. But is it right to assume that visual - and especially pictorial - measures carry special epistemic weight in the context of scientific reasoning? Do pictorial approaches have any surpluses, compared to other semiotic types? This book delves into these issues from the point of view of the philosophy of science. New examples from the field of scientific visualisation are introduced in order to account for the epistemic weight and surpluses of syntactically dense - pictorial - s.
Genre:
Electronic Access:
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