An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
Created by W.Langdon from
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- @Article{suzuki:1999:AL,
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author = "Hikeaki Suzuki",
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title = "An Approach to Biological Computation: Unicellular
Core-Memory Creatures Evolved Using Genetic
Algorithms",
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journal = "Artificial Life",
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year = "1999",
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volume = "5",
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number = "4",
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pages = "367--386",
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month = "Fall",
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keywords = "genetic algorithms, genetic programming, core memory,
unicellular creature, membrane, biological computation,
algorithmic complexity, machine language genetic
programming",
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URL = "http://ariel.ingentaselect.com/vl=1486189/cl=56/nw=1/fm=docpdf/rpsv/cw/mitpress/10645462/v5n4/s4/p367",
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DOI = "doi:10.1162/106454699568827",
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size = "20 pages",
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abstract = "A novel machine language genetic programming system
that uses one-dimensional core memories is proposed and
simulated. The core is compared to a biochemical
reaction space, and in imitation of biological
molecules, four types of data words (Membrane, Pure
data, Operator, and Instruction) are prepared in the
core. A program is represented by a sequence of
Instructions. During execution of the core,
Instructions are transcribed into corresponding
Operators, and Operators modify, create, or transfer
Pure data. The core is hierarchically partitioned into
sections by the Membrane data, and the data transfer
between sections by special channel Operators
constitutes a tree data-flow structure among sections
in the core. In the experiment, genetic algorithms are
used to modify program information. A simple machine
learning problem is prepared for the environment data
set of the creatures (programs), and the fitness value
of a creature is calculated from the Pure data excreted
by the creature. Breeding of programs that can output
the predefined answer is successfully carried out.
Several future plans to extend this system are also
discussed.",
- }
Genetic Programming entries for
Hikeaki Suzuki
Citations