A Shape Language for IFS

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Sarafopoulos:2012:CiE,
  author =       "Anargyros Sarafopoulos",
  title =        "A Shape Language for {IFS}",
  booktitle =    "Turing Centenary Conference, CiE 2012 - How the World
                 Computes",
  year =         "2012",
  pages =        "121",
  address =      "Cambridge",
  month =        "18-23 " # jun,
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Representations, IFS Fractals, Agents, Biologically
                 Inspired Computing, Computer Graphics, Spatial
                 Reasoning",
  URL =          "http://www.mathcomp.leeds.ac.uk/turing2012/WScie12/Images/abstracts-booklet.pdf",
  size =         "1 page",
  abstract =     "Shape is a language for controlling agents designed to
                 represent geometric transformations of compact subsets
                 in a metric space. Shape provides a spatial reasoning
                 [J. Van Bentham, 2010] framework which allows agents to
                 take decisions based on the structure of their
                 surrounding metric. Like biological cells, these agents
                 can subdivide and replicate creating new
                 transformations and new subsets, while their control
                 program or 'genetic code' is written in Shape. Shape is
                 demonstrated on the inverse problem for Iterated
                 Function Systems (IFS) fractals [Bransley, 1993]. Shape
                 provides a useful computational framework for studying
                 development of fractal structures, as well as a novel
                 indirect representation
                 [\cite{bentley:1999:TWGDACEEDP},
                 \cite{eurogp07:sarafopoulos}] for spatial generative
                 models[Synder and Kajiya, 1993, Prusinkiewicz and
                 Lindenmayer, 1996]",
  notes =        "http://www.mathcomp.leeds.ac.uk/turing2012/WScie12/give-page.php?88",
}

Genetic Programming entries for Anargyros Sarafopoulos

Citations