Chemotaxis-Inspired Cellular Primitives for Self-Organizing Shape Formation

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InCollection{Bai:2012:ME,
  author =       "Linge Bai and David E. Breen",
  title =        "Chemotaxis-Inspired Cellular Primitives for
                 Self-Organizing Shape Formation",
  booktitle =    "Morphogenetic Engineering",
  publisher =    "Springer",
  year =         "2012",
  editor =       "Rene Doursat and Hiroki Sayama and Olivier Michel",
  series =       "Understanding Complex Systems",
  chapter =      "9",
  pages =        "209--237",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-33901-1",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.306.4523",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.4523",
  URL =          "http://dx.doi.org/10.1007/978-3-642-33902-8_9",
  DOI =          "doi:10.1007/978-3-642-33902-8_9",
  size =         "29 pages",
  abstract =     "Motivated by the ability of living cells to form
                 specific shapes and structures, we are investigating
                 chemotaxis-inspired cellular primitives for
                 self-organising shape formation. This chapter details
                 our initial effort to create Morphogenetic Primitives
                 (MPs), software agents that may be programmed to
                 self-organise into user specified 2D shapes. The
                 interactions of MPs are inspired by chemotaxis-driven
                 aggregation behaviours exhibited by actual living
                 cells. Cells emit a chemical into their environment.
                 Each cell responds to the stimulus by moving in the
                 direction of the gradient of the cumulative chemical
                 field detected at its surface. The artificial chemical
                 fields of individual MPs are explicitly defined as
                 mathematical functions. Genetic programming is used to
                 discover the chemical field functions that produce an
                 automated shape formation capability. We describe the
                 cell-based behaviours of MPs and a distributed genetic
                 programming method that discovers the chemical fields
                 needed to produce macroscopic shapes from simple
                 aggregating primitives. Several examples of aggregating
                 MPs demonstrate that chemotaxis is an effective
                 paradigm for spatial self-organization algorithms.",
}

Genetic Programming entries for Linge Bai David E Breen

Citations