000048302 001__ 48302
000048302 005__ 20200623125808.0
000048302 0247_ $$2doi$$a10.3389/fmicb.2014.00101
000048302 0248_ $$2sideral$$a87119
000048302 037__ $$aART-2014-87119
000048302 041__ $$aeng
000048302 100__ $$aLahoz-Beltra, R.
000048302 245__ $$aBacterial computing: A form of natural computing and its applications
000048302 260__ $$c2014
000048302 5060_ $$aAccess copy available to the general public$$fUnrestricted
000048302 5203_ $$aThe capability to establish adaptive relationships with the environment is an essential characteristic of living cells. Both bacterial computing and bacterial intelligence are two general traits manifested along adaptive behaviors that respond to surrounding environmental conditions. These two traits have generated a variety of theoretical and applied approaches. Since the different systems of bacterial signaling and the different ways of genetic change are better known and more carefully explored, the whole adaptive possibilities of bacteria may be studied under new angles. For instance, there appear instances of molecular "learning" along the mechanisms of evolution. More in concrete, and looking specifically at the time dimension, the bacterial mechanisms of learning and evolution appear as two different and related mechanisms for adaptation to the environment; in somatic time the former and in evolutionary time the latter. In the present chapter it will be reviewed the possible application of both kinds of mechanisms to prokaryotic molecular computing schemes as well as to the solution of real world problems.
000048302 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000048302 590__ $$a3.989$$b2014
000048302 591__ $$aMICROBIOLOGY$$b27 / 119 = 0.227$$c2014$$dQ1$$eT1
000048302 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000048302 700__ $$0(orcid)0000-0001-6148-0667$$aNavarro, J.
000048302 700__ $$aMarijuán, P.C.
000048302 773__ $$g5 (2014), A.101 [10 p.]$$pFront. microbiol.$$tFRONTIERS IN MICROBIOLOGY$$x1664-302X
000048302 8564_ $$s2136974$$uhttps://zaguan.unizar.es/record/48302/files/texto_completo.pdf$$yVersión publicada
000048302 8564_ $$s131325$$uhttps://zaguan.unizar.es/record/48302/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000048302 909CO $$ooai:zaguan.unizar.es:48302$$particulos$$pdriver
000048302 951__ $$a2020-06-23-12:28:06
000048302 980__ $$aARTICLE