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ALIFE
1999

An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms

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An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
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- ow 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 tness value of a creature is calculated from the Pure data excreted by the creature. Bre...
Hikeaki Suzuki
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 1999
Where ALIFE
Authors Hikeaki Suzuki
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