Computers from Plants We Never Made: Speculations

Created by W.Langdon from gp-bibliography.bib Revision:1.3989

  author =       "Andrew Adamatzky and Simon Harding and 
                 Victor Erokhin and Richard Mayne and Nina Gizzie and 
                 Frantisek Baluska and Stefano Mancuso and Georgios Ch. Sirakoulis",
  title =        "Computers from Plants We Never Made: Speculations",
  booktitle =    "Inspired by Nature: Essays Presented to Julian F.
                 Miller on the Occasion of his 60th Birthday",
  publisher =    "Springer",
  year =         "2017",
  editor =       "Susan Stepney and Andrew Adamatzky",
  volume =       "28",
  series =       "Emergence, Complexity and Computation",
  chapter =      "17",
  pages =        "357--387",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-67996-9",
  DOI =          "doi:10.1007/978-3-319-67997-6_17",
  abstract =     "Plants are highly intelligent organisms. They
                 continuously make distributed processing of sensory
                 information, concurrent decision making and parallel
                 actuation. The plants are efficient green computers per
                 se. Outside in nature, the plants are programmed and
                 hardwired to perform a narrow range of tasks aimed to
                 maximize the plants ecological distribution, survival
                 and reproduction. To persuade plants to solve tasks
                 outside their usual range of activities, we must either
                 choose problem domains which homomorphic to the plants
                 natural domains or modify biophysical properties of
                 plants to make them organic electronic devices. We
                 discuss possible designs and prototypes of computing
                 systems that could be based on morphological
                 development of roots, interaction of roots, and
                 analogue electrical computation with plants, and
                 plant-derived electronic components. In morphological
                 plant processors data are represented by initial
                 configuration of roots and configurations of sources of
                 attractants and repellents; results of computation are
                 represented by topology of the roots network.
                 Computation is implemented by the roots following
                 gradients of attractants and repellents, as well as
                 interacting with each other. Problems solvable by plant
                 roots, in principle, include shortest-path, minimum
                 spanning tree, Voronoi diagram, alpha-shapes, convex
                 subdivision of concave polygons. Electrical properties
                 of plants can be modified by loading the plants with
                 functional nanoparticles or coating parts of plants of
                 conductive polymers. Thus, we are in position to make
                 living variable resistors, capacitors, operational
                 amplifiers, multipliers, potentiometers and
                 fixed-function generators. The electrically modified
                 plants can implement summation, integration with
                 respect to time, inversion, multiplication,
                 exponentiation, logarithm, division. Mathematical and
                 engineering problems to be solved can be represented in
                 plant root networks of resistive or reaction elements.
                 Developments in plant-based computing architectures
                 will trigger emergence of a unique community of
                 biologists, electronic engineering and computer
                 scientists working together to produce living
                 electronic devices which future green computers will be
                 made of.",
  notes =        "part of \cite{miller60book}

Genetic Programming entries for Andrew Adamatzky Simon Harding Victor Erokhin Richard Mayne Nina Gizzie Frantisek Baluska Stefano Mancuso Georgios Ch Sirakoulis