Life form entities have perfected over time ways to survive either by improving collaborative methods between individuals or by specializing the individual so it can withstands the caprices of nature. Even at the cellular level we come into contact with methods which organisms have developed to organise and transmit information from different areas or organs towards the central nervous system, thus providing specialized algorithms for measuring, ordering and categorizing messages from cells using receptors, with the purpose of facilitating efficient and optimum decision making based on the received information. The scope of this paper is to explore methods in which we can identify and replicate an organism’s native decision making algorithms based on things such as weighted collaborative voting.
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