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<p dir="ltr">Nature-inspired models are an exciting and innovative area of research that explores the patterns and behaviors found in organic systems. These models demonstrate emergent behaviors that result in naturalistic patterns similar to those found in nature, making them widely applicable in various graphics applications and visualization techniques.</p><p dir="ltr">In the literature review, the behavior and structure of each nature-inspired model applied in computational art, graphics techniques, and visualization are described in detail. The taxonomy developed through the analysis of the similarities and differences among these models guides the research approach towards two specific nature-inspired models: Physarum and Differential Growth.</p><p><br></p><p dir="ltr">The Physarum model is implemented based on particle systems in graphics applications, which allows for the emergence of unique behaviors. These behaviors are similar to those found in social conflict behavior observed in artificial life systems. An extension of the Physarum model with Reaction-Diffusion texture generation produces patterns similar to those found in structures such as seashells and angelfish.</p><p dir="ltr">Differential growth is simulated in a particle system coupled with a vector field, creating an interactive software for pattern formation. This software enables users to adjust the parameters of the vector field and differential growth to create patterns observed in organic systems, such as kale leaves. The research aims to determine whether this software is understandable and usable for users to create patterns effectively.</p><p dir="ltr">The taxonomy developed in this study is a valuable resource for researchers, computational artists, and programmers to experiment with nature-inspired models governing complex rules and pattern formation. These models can be applied in graphics techniques such as animation, texture mapping, and artistic designs for exploration purposes.</p><p dir="ltr">In conclusion, nature-inspired models have proven to be an innovative and effective way to create naturalistic patterns in various graphics applications and visualization techniques. The research conducted in this study provides valuable insights into the behavior and structure of these models and how they can be developed further to create new and exciting designs.<br></p>

  1. 10.25394/pgs.25594185.v1
Date12 April 2024
CreatorsBushra Ferdousi (18359268)
Source SetsPurdue University
Detected LanguageEnglish
TypeText, Thesis
RightsIn Copyright

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