Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Developing a Dynamically Adaptive System (DAS) requires a developer to identify viable target systems that can be adopted by the DAS at runtime in response to specific environmental conditions, while satisfying critical properties.  describes a preliminary investigation into using digital evolution to automatically generate models of viable target systems. In digital evolution, a population of self-replicating computer programs exists in a user-defined computational environment and is subject to instruction-level mutations and natural selection. These "digital organisms" have no built-in ability to generate a model - each population begins with a single organism that only has the ability to self-replicate. In a case study,  demonstrate that digital evolution can be used to evolve known state diagrams and to further evolve these diagrams to satisfy system critical properties. This result shows that digital evolution can be used to aid in the discovery of the viable target systems of a DAS.
['Heather J. Goldsby', 'David B. Knoester', 'Betty H. C. Cheng', 'Philip K. McKinley', 'Charles Ofria']
I am writing a research paper on a idea Digitally Evolving Models for Dynamically Adaptive Systems
[{"from": "human", "value": "I am writing a research paper on a idea Digitally Evolving Models for Dynamically Adaptive Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Developing a Dynamically Adaptive System (DAS) requires a developer to identify viable target systems that can be adopted by the DAS at runtime in response to specific environmental conditions, while satisfying critical properties.  describes a preliminary investigation into using digital evolution to automatically generate models of viable target systems. In digital evolution, a population of self-replicating computer programs exists in a user-defined computational environment and is subject to instruction-level mutations and natural selection. These \"digital organisms\" have no built-in ability to generate a model - each population begins with a single organism that only has the ability to self-replicate. In a case study,  demonstrate that digital evolution can be used to evolve known state diagrams and to further evolve these diagrams to satisfy system critical properties. This result shows that digital evolution can be used to aid in the discovery of the viable target systems of a DAS."}]