Energy cost evaluation of computing capabilities in biomolecular and artificial matter

R. Lahoz-Beltra, S. R. Hameroff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationAdvances in Artificial Life - 3rd European Conference on Artificial Life, Proceedings
EditorsPablo Chacon, Juan Julian Merelo, Federico Moran, Alvaro Moreno
Number of pages14
ISBN (Print)3540594965, 9783540594963
StatePublished - 1995
Event3rd European Conference on Artificial Life, ECAL 1995 - Granada, Spain
Duration: Jun 4 1995Jun 6 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd European Conference on Artificial Life, ECAL 1995

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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