Evolution for modeling: a genetic programming framework for SeSAm

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Robert Junges and Franziska Klugl",
  title =        "Evolution for modeling: a genetic programming
                 framework for {SeSAm}",
  booktitle =    "GECCO 2011 Evolutionary computation and multi-agent
                 systems and simulation (ECoMASS) - fifth annual
  year =         "2011",
  editor =       "William Rand and Forrest Stonedahl",
  isbn13 =       "978-1-4503-0690-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "551--558",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001858.2002047",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Developing a valid agent-based simulation model is not
                 always straight forward, but involves a lot of
                 prototyping, testing and analysing until the right
                 low-level behaviour is fully specified and calibrated.
                 Our aim is to replace the try and error search of a
                 modeller by adaptive agents which learn a behaviour
                 that then can serve as a source of inspiration for the
                 modeler. In this contribution, we suggest to use
                 genetic programming as the learning mechanism. For this
                 aim we developed a genetic programming framework
                 integrated into the visual agent-based modeling and
                 simulation tool SeSAm, providing similar easy-to-use
  notes =        "Also known as \cite{2002047} Distributed on CD-ROM at

                 ACM Order Number 910112.",

Genetic Programming entries for Robert Junges Franziska Klugl