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Conference proceeding
An Emergent System for Self-Aligning and Self-Organizing Shape Primitives
SASO 2008: SECOND IEEE INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS, PROCEEDINGS, pp 445-454
01 Jan 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Motivated by the natural phenomenon of living cells self-organizing into specific shapes and structures. we present an emergent stem that utilizes evolutionary computing methods for designing and simulating self-aligning and self-organizing shape primitives. Given the complexity of the emergent behavior, genetic programming is employed to control the evolution of our emergent system. The system has two levels of description. At the macroscopic level, a user-specified, pre-defined shape is given as input to the system. The system outputs local interaction rides that direct morphogenetic primitives (MP) to aggregate into the shape. At the microscopic level, MPs follow interaction rides based only on local interactions. All MPs are identical and do not know the final shape to be formed. The aggregate is then evaluated at the macroscopic level for its similarity to the user-defined shape. In this paper. we present (1) an emergent system that discovers local interaction rules that direct MPs to form user-defined shapes, (2) the simulation system that implements these rules and causes MPs to self-align and self-organize into a user-defined shape, and (3) the robustness and scalability qualities of the overall approach.
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Details
- Title
- An Emergent System for Self-Aligning and Self-Organizing Shape Primitives
- Creators
- Linge Bai - Drexel UniversityManolya Eyiyurekli - Drexel UniversityDavid E. Breen - Drexel University
- Contributors
- S Brueckner (Editor)P Robertson (Editor)U Bellur (Editor)
- Publication Details
- SASO 2008: SECOND IEEE INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS, PROCEEDINGS, pp 445-454
- Publisher
- IEEE
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000262480300044
- Scopus ID
- 2-s2.0-57949087103
- Other Identifier
- 991019168653304721
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- Web of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic