TY - GEN
T1 - Energy cost evaluation of computing capabilities in biomolecular and artificial matter
AU - Lahoz-Beltra, R.
AU - Hameroff, S. R.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1995.
PY - 1995
Y1 - 1995
N2 - Propierties which define living systems at the molecular level include self-organization, communication, adaptive behavior and computation. Logic functions may implement these propierties in biomolecules and therefore may be essential to living systems. Several logic systems from Boolean to Spencer-Brown algebra have been suggested to be applicable to molecular computation. Boolean equations are commonly implemented on silicon chips on computer, but may also exist in nature. For example, the lac and arabinose operons in E. Coli, some genetic networks of the metazoan genome, the self-assembly of proteins (i.e. Viruses like "1"4 bacteriophage, cellular cytoskeletal elements, etc) display Boolean logic and show the capability for symbolic logic manipulation in biological connectionist systems. In biological systems logic operations are carried out in nonlinear devices or automata (i.e protein, gen, neuron, etc) producing an output that represent a logical function. Combination of logical functions is the substrate for biocomputation: An emergent propierty of biological systems. In the present article we introduce a method to evaluate the computational activity of automata in the context of biomoleeular and artificial (cellular automata) matter. The method is illustrated in two different situations, in the cellular automata realm as well as in a model of finite state protein based computation.
AB - Propierties which define living systems at the molecular level include self-organization, communication, adaptive behavior and computation. Logic functions may implement these propierties in biomolecules and therefore may be essential to living systems. Several logic systems from Boolean to Spencer-Brown algebra have been suggested to be applicable to molecular computation. Boolean equations are commonly implemented on silicon chips on computer, but may also exist in nature. For example, the lac and arabinose operons in E. Coli, some genetic networks of the metazoan genome, the self-assembly of proteins (i.e. Viruses like "1"4 bacteriophage, cellular cytoskeletal elements, etc) display Boolean logic and show the capability for symbolic logic manipulation in biological connectionist systems. In biological systems logic operations are carried out in nonlinear devices or automata (i.e protein, gen, neuron, etc) producing an output that represent a logical function. Combination of logical functions is the substrate for biocomputation: An emergent propierty of biological systems. In the present article we introduce a method to evaluate the computational activity of automata in the context of biomoleeular and artificial (cellular automata) matter. The method is illustrated in two different situations, in the cellular automata realm as well as in a model of finite state protein based computation.
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U2 - 10.1007/3-540-59496-5_350
DO - 10.1007/3-540-59496-5_350
M3 - Conference contribution
AN - SCOPUS:0344370100
SN - 3540594965
SN - 9783540594963
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 876
EP - 889
BT - Advances in Artificial Life - 3rd European Conference on Artificial Life, Proceedings
A2 - Chacon, Pablo
A2 - Merelo, Juan Julian
A2 - Moran, Federico
A2 - Moreno, Alvaro
PB - Springer-Verlag
T2 - 3rd European Conference on Artificial Life, ECAL 1995
Y2 - 4 June 1995 through 6 June 1995
ER -