Digital enzymes: agents of reaction inside robotic controllers for the foraging problem

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

@InProceedings{Byers:2011:GECCO,
  author =       "Chad M. Byers and Betty H. C. Cheng and 
                 Philip K. McKinley",
  title =        "Digital enzymes: agents of reaction inside robotic
                 controllers for the foraging problem",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0557-0",
  pages =        "243--250",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 life/robotics/evolvable hardware",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001576.2001610",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Over billions of years, natural selection has
                 continued to select for a framework based on (1)
                 parallelism and (2) cooperation across various levels
                 of organisation within organisms to drive their
                 behaviours and responses. We present a design for a
                 bottom-up, reactive controller where the agent's
                 response emerges from many parallelled, enzymatic
                 interactions (bottom-up) within the
                 biologically-inspired process of signal transduction
                 (reactive). We use enzymes to explore the potential for
                 evolving simulated robot controllers for the
                 central-place foraging problem. The properties of the
                 robot and stimuli present in its environment are
                 encoded in a digital format (molecule) capable of being
                 manipulated and altered through self-contained
                 computational programs (enzymes) executing in parallel
                 inside each controller to produce the robot's foraging
                 behaviour. Evaluation of this design in unbounded
                 worlds reveals evolved strategies employing one or more
                 of the following complex behaviors: (1) swarming, (2)
                 coordinated movement, (3) communication of concepts
                 using a primitive language based on sound and colour,
                 (4) cooperation, and (5) division of labour.",
  notes =        "Also known as \cite{2001610} GECCO-2011 A joint
                 meeting of the twentieth international conference on
                 genetic algorithms (ICGA-2011) and the sixteenth annual
                 genetic programming conference (GP-2011)",
}

Genetic Programming entries for Chad M Byers Betty H C Cheng Philip K McKinley

Citations