Use the future to build the present
Bio-computational Logic and Strategies
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1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy
1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy

Sub-Field:

1.4.2Bio-computational Logic and Strategies

The limitations of conventional computing are taken for granted and seldom contemplated. Cellular computing is so qualitatively different, however, that it may well escape or bypass those limitations and open up a wide range of unanticipated applications and abilities. This is because cellular components have a set of distinct traits that can be harnessed to perform logic operations that differ from those we have employed in traditional silicon-based information processing.7

First, a cell’s components can be re-configured in response to external stimuli, allowing a variety of outputs. They function in the presence of noise, and thus do not require inputs that are clean representations of data — indeed, in some cases they even exploit the natural messiness found in biological systems. There are multiple signal pathways within the cell, enabling the components to engage in concurrent, massively-parallel information processing.8 The communication pathways that exist between biological cells allow for new forms of distributed computation.9 There is no requirement to use only digital signals in inputs and outputs of cellular processes; the cell mechanisms are able to function as analogue computers.

Finally, at a population level, they use their naturally inherent variety to evolve solutions to problems over time. All of these properties suggest that there will be a rich array of computing strategies available to us as the field of biocomputing matures.

Future Horizons:

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5-yearhorizon

Distributed biocomputing comes of age

Small-scale biocomputing networks of biological cells work together in the lab to provide potential solutions for real-world problems.

10-yearhorizon

Engineers build circuits inspired by lab-based evolution

Monitoring the mechanisms of bacterial evolution provides inspiration for the design of new biocomputing pathways.

25-yearhorizon

New computing toolkits emerge

Research has catalogued an array of natural biocomputing pathways and created a new, post-Boolean set of logic operations and design tools for information processing.

Bio-computational Logic and Strategies - Anticipation Scores

How the experts see this field in terms of the expected time to maturity, transformational effect across science and industries, current state of awareness among stakeholders and its possible impact on people, society and the planet. See methodology for more information.

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