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A M Bergareche

Publications and source records attributed to A M Bergareche.

2 recordsLinked to original sources

Metabolism and the problem of its universalization.

Metabolism tends to be conceived either as an operationally closed network of production of components or as an autonomous apparatus of management of energy flows. Taking up some recent ideas that connect the concept of autonomy with thermodynamic requirements, we move further to defend the hypothesis that there must be a deep intertwinement between the relational-constructive logic of a basic biological system and the logic of its thermodynamic implementation. Hence, we propose that metabolism should be universally defined as the recursive self-maintenance of controls upon the energy flows necessary for the physical realization of a component production system operationally closed. Finally, being critical with some claims of the so-called 'strong' artificial life approach, we try to show that present 'computational metabolisms' are necessarily different in their structure and functioning from any real metabolic system, due to the distinct type of causal relations and mechanisms which are respectively established in them.

Computer Simulation↗

Structural limits for evolutive capacities in complex molecular systems.

The possibilities of evolution for a system with and without a code of translation from nucleic acids into proteins are evaluated. Our interest is mainly centred on the enzymatic RNA case since this molecule has, at the same time, reproductive and functional properties. After scanning the evolutive capacities of the enzymatic RNAs, including the possibility to play the role of "synthetase" which would match nucleic acids with amino acids as a transition step towards a code, we will try to show that due to their own functional limitative factors, the matching system (code) is necessary. This would be the only way to transform the formal complexity--complexity which has not entered into action before the translation process--into functional information to drive the instructive self-reproductive process. Once this stage is reached, the system could evolve without a limit.

Biological Evolution↗