Fuzzy Pictures as Philosophical Problem and Scientific Practice

1. Introduction: visual uncertainty, categorization, objectivity and practices and<div>values of imprecision.-&nbsp;2. From ordinary to mathematical categorization in the visual world… of words,</div><div>pictures and practices.-&nbsp;3. Vagueness and fuzziness in words and predication.-&nbsp;4. Representations: from words to images.-&nbsp;5. Epistemology, aesthetics and pragmatics of scientific and other images:</div><div>visualization, representation and reasoning.-&nbsp;6. Visual representation: from perceptions to pictures.-&nbsp;7. Vague pictures: epistemology, aesthetics and pragmatics of fuzziness, from fuzzy&nbsp;perception to fuzzy pictures.-&nbsp;8. Blur as vagueness: seeing images vaguely and seeing vague images; perception&nbsp;and representation.-&nbsp;9. Vague pictures as pictures.-&nbsp;10. Vague pictures as vague representations and representing.-&nbsp;11. The cognitive values of imprecision: towards a scientific epistemology,&nbsp;aesthetics and pragmatics of fuzziness, contextual lessons from the history of&nbsp;picture-making practices.-&nbsp;12. Introduction: fuzzy-set representation and processing of fuzzy images; nonlinguistic&nbsp;vagueness as scientific practice; scientific epistemology, aesthetics,&nbsp;methodology and technology of fuzziness.-&nbsp;13. Application of mathematics in the representation of images: from geometry to&nbsp;set theory.-&nbsp;14. Cognitive framework of set-theoretic methodology of analysis and synthesis:&nbsp;categorization, classification and many faces of digital geometry.-&nbsp;15. Conceptual resources and philosophical grounds in set-theoretic models of&nbsp;vagueness: fuzzy, rough and near sets.-&nbsp;16. Analytic and synthetic forms of vague categorization.-&nbsp;17. From intrinsic to extrinsic vague categorization and content.-&nbsp;18. Pictorial representation and simplicity of categorization.-&nbsp;19. Fuzzy visual thinking: interpreting and thinking with fuzzy pictures and fuzzy</div><div>data.-&nbsp;20. Pictorial approximation: pictorial accuracy, vagueness and fuzziness.-&nbsp;21. Pictorial vagueness as scientific practice: picture-making and the mathematical&nbsp;practice of fuzzy categorization.-&nbsp;22. Conclusion.</div>