A descriptive approach for automatic generation of visual blends is presented. The implemented system, the Blender, is composed of two components: the Mapper and the Visual Blender. The approach uses structured visual representations along with sets of visual relations which describe how the elements (in which the visual representation can be decomposed) relate among each other. Our system is a hybrid blender, as the blending process starts at the Mapper (conceptual level) and ends at the Visual Blender (visual representation level). The experimental results show that the Blender is able to create analogies from input mental spaces and produce well-composed blends, which follow the rules imposed by its base-analogy and its relations. The resulting blends are visually interesting and some can be considered as unexpected.
proposed a discursive approach to evaluate the quality of blends (although there is no evidence of an implementation). The main idea was to use Lakatosian argumentative dialogue @cite_3 to iteratively construct valuable and novel blends as opposed to a strictly combinatorial approach. To exemplify the argumentative approach, the authors focused on icon design by introducing a semiotic system for modelling computer icons. Since icons can be considered as a combination of signs that can convey multiple intended meanings to the icon, proposed argumentation to evaluate and refine the quality of the icons.
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Editors' preface Acknowledgments Author's introduction 1. A problem and a conjecture 2. A proof 3. Criticism of the proof by counterexamples which are local but not global 4. Criticism of the conjecture by global counterexamples 5. Criticism of the proof-analysis by counterexamples which are global but not local: the problem of rigour 6. Return to criticism of the proof by counterexamples which are local but not global: the problem of content 7. The problem of content revisited 8. Concept-formation 9. How criticism may turn mathematical truth into logical truth Appendices Bibliography Index of names Index of subjects.