?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Memory+Evolutive+Systems&rft.creator=Ehresmann%2C+Andree&rft.creator=Vanbremeersch%2C+Jean-Paul&rft.subject=Complexity+Theory&rft.subject=Neural+Nets&rft.subject=Neural+Modelling&rft.description=Natural+autonomous+systems%2C+such+as+biological%2C+neural%2C+social+or+cultural+systems%2C+are+open%2C+self-organized+systems+with+a+more+or+less+large+hierarchy+of+interacting+complexity+levels%3B+they+are+able+to+memorize+their+experiences+and+to+adapt+to+various+conditions+through+a+change+of+behavior.+These+last+fifteen+years%2C+the+Authors+have+developed+a+mathematical+model+for+these+systems%2C+based+on+Category+Theory.+The+aim+of+the+paper+is+to+give+an+overview+of+this+model%2C+called+Memory+Evolutive+Systems.&rft.date=1999-10&rft.type=Preprint&rft.type=NonPeerReviewed&rft.format=text%2Fhtml&rft.identifier=http%3A%2F%2Fcogprints.org%2F921%2F1%2Fauef.htm&rft.identifier=++Ehresmann%2C+Andree+and+Vanbremeersch%2C+Jean-Paul++(1999)+Memory+Evolutive+Systems.++%5BPreprint%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F921%2F