Abstract Cellular Cohesion Simulation

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Abstract Cellular Cohesion Simulation
-Nicholas Brown
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Changes
Organelle
Cell
Creature
Tissue
Organ
Organ System
Creature
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Changes
Cell
Creature
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Environment
-Simplified down to a water environment -Scaled
Down to reduce system requirements -Two 'Types'
of cell -Photosynthetic -Predator -Uses a
multimap to run cohesion interactions -Movement
-Photosynthetic cells drift randomly -Predators
cells move faster and may attack nearby cells
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Environment
-Every cell has Energy and the photosynthetic
cells have buoyancy -When a cell divides each
child gets half of the parent's
energy -Everything takes energy -Each 'trait'
has a chance to change during reproduction -Photo
synthetic cells get energy from the sun depending
on -Depth -Genetics -Covered 'surface' area
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Expected Results
-Photosynthetic cells should combine together
which will -Increase the overall structure's
buoyancy -allow them to survive longer -The
idea is similar in concept to an Algae
mat -Hopefully the simulation should produce one
or two dominant variations -The predators should
get faster with fewer variations -Predator
aggressiveness should be just high enough to feed
them
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Problems
-Having to scale back simulation -Having to
learn C -Personal problems