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affiliated with the
departments of Learning
Sciences and Computer
Science
and the Northwestern
Institute on Complex Systems at Northwestern
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BugHunt -- Simulated Evolution
A Project Sponsored by OBONU 2009
How to Play
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How it Works
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Mechanisms
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Evidence of Evolution
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Play
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What are the Mechanisms of Evolution in BugHunt?
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Mechanism #1: Inheritance and Mutation
In BugHunt every offspring bug has traits nearly identical to a single parent. This form of asexual reproduction is not uncommon in bugs.
Each bug has a color trait, determined by 3 pieces of genetic information that determine their phenotype for color. One gene is a RED-GENE, another is a GREEN-GENE, and the last is a BLUE-GENE. These are simply numbers (0-255) that represent the amount of that pigment that is produced in the bug. The overall color (the phenotype_ of the bug is then determined by an RGB [Red-Green-Blue] calculation.
With each bug you eat, an existing bug is randomly chosen to reproduce one offspring. The offspring's gene-frequency for each of the three pigment genes may be slightly different than the parent (it can be anywhere from +25 units higher or -25 units lower in value for each of the gene values, but can not go any higher than 255 or lower than 0) .
When a new bug is born it slowly grows (in about 10 seconds) from 0% its parent's size to 100% its parent's size. New bugs are born at a randomly selected direction and distance within 7 body lengths of their parent.
This is how inheritance and mutation are modeled in the simulation.
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Mechanism #2: Competitive Advantage in an Environment
The background environment for the bugs is a jpeg image. Since this environment is a color image, the color of the bugs gives them a competitive advantage or disadvantage for being detected by you or other players in the competition. Bugs that you can't find easily have a competitive advantage for surviving longer and therefore a competitive advantage for producing more offspring similar in color to themselves.
This is how competitive advantage in an environment emerges in the simulation.
Mechanism #3: Selective Pressure
The competition format encourages you and other players to simulate some of the behavior of predators in the real world. Predators that gain more food survive longer and predators that do not get enough food die. So as you try to hunt as quickly as possible you and other players unintentionally generate a form of selective pressure on the population of bugs. Without realizing it all the competitors are removing easily to detect bugs from the population more often than others and leaving harder to detect bugs in the population more often than others.
This is how your actions result in selective pressure.
Outcome: Natural Selection Leading to Evolution
These three interacting mechanisms 1) inheritance and mutation, 2) competitive advantage in an environment, and 3) selective pressure together lead to an emergent phenomena: Natural Selection, which is the continual change in distribution of traits in the population to make the population better fit to survive over time. The specific outcome of every competition is never identical (the colors and distribution of bugs is always different and the environment can be set to be any background image), but the general outcome (that the bugs evolve to become better camouflaged over time) is nearly always the same.
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