Exploitation and Exploration

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in changing environments. It is also important in many other fields, for
in changing environments. It is also important in many other fields, for
example in reinforcement learning and economics: should companies invest  
example in reinforcement learning and economics: should companies invest  
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in research & development or should they try to use their available resources  
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in research & development and fund innovative ideas or should they try to  
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and techniques more efficiently ?
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use their available resources and techniques more efficiently ?
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The principle of balancing exploitation and exploration is based
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on two core principles of [[Evolution|evolution]]: exploration means
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variation (for example by recombination or mutation), while
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natural selection is similar to exploitation.
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== Swarm Intelligence ==
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Systems which use [[Swarm Intelligence|swarm intelligence]] are often able
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to achieve the right balance between exploration and exploitation.
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During food foraging, colonies and swarms must achieve a good trade-off
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between exploration (search new sources) and exploitation (use known sources).
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Trail-based foraging amont ants and danced-based foraging among honeybees
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allow naturally to regulate the number of foragers:
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if the trail is weak and the food quality low, many ants will lose the
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connection, and start to explore new areas. The weaker the trail, the
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larger is the number of lost ants who are able to discover new food
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sources.
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If the number of dancers in a honeybee colony is low, the unemployed
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foragers will leave the colony and start to explore new areas, too.
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The lower the number of dances, the larger is the number of scouts which
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explore new areas.
== Books ==
== Books ==
* Holland, J. H. 1992. Adaptation in Natural and Artificial Systems. Cambridge, MA: MIT Press. First edition, 1975
* Holland, J. H. 1992. Adaptation in Natural and Artificial Systems. Cambridge, MA: MIT Press. First edition, 1975

Latest revision as of 21:40, 11 February 2011

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