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Collaborative Computation in Self-Organizing Particle Systems


Abstract Many forms of programmable matter have been proposed for various tasks. We use an abstract model of self-organizing particle systems for programmable matter which could be used for a variety of applications, including smart paint and coating materials for engineering or programmable cells for medical uses. Previous research using this model has focused on shape formation and other spatial configuration problems, including line formation, compression, and coating. In this work we study foundational computational tasks that exceed the capabilities of the individual constant memory particles described by the model. These tasks represent new ways to use these self-organizing systems, which, in conjunction with previous shape and configuration w... (more)
Created Date 2016-12
Contributor Porter, Alexandra Marie (Author) / Richa, Andrea (Thesis Director) / Xue, Guoliang (Committee Member) / School of Music / Computer Science and Engineering Program / School of Mathematical and Statistical Sciences / Barrett, The Honors College
Subject Mathematics / Programmable Matter / Algorithms / Theory / Computer Science
Series Academic Year 2016-2017
Type Text
Extent 25 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS


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