Reverse Inference in Symbolic Systems Biology

Author(s):  
Beatriz Santos-Buitrago ◽  
Adrián Riesco ◽  
Merrill Knapp ◽  
Gustavo  Santos-García ◽  
Carolyn Talcott
2003 ◽  
Author(s):  
T. IDEKER ◽  
E. NEUMANN ◽  
V. SCHACHTER

2019 ◽  
Vol 42 ◽  
Author(s):  
J. Alfredo Blakeley-Ruiz ◽  
Carlee S. McClintock ◽  
Ralph Lydic ◽  
Helen A. Baghdoyan ◽  
James J. Choo ◽  
...  

Abstract The Hooks et al. review of microbiota-gut-brain (MGB) literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: (a) highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and (b) recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.


Author(s):  
Bernhard O. Palsson ◽  
Marc Abrams
Keyword(s):  

2018 ◽  
Author(s):  
Sheba Jarvis ◽  
Lee Gethings ◽  
Raffaella Gadeleta ◽  
Emmanuelle Claude ◽  
Robert Winston ◽  
...  

2018 ◽  
Author(s):  
David Barner

Why did humans develop precise systems for measuring experience, like numbers, clocks, andcalendars? I argue that precise representational systems were constructed by earlier generationsof humans because they recognized that their noisy perceptual systems were not capturingdistinctions that existed in the world. Abstract symbolic systems did not arise from perceptualrepresentations, but instead were constructed to describe and explain perceptual experience. Byanalogy, I argue that when children learn number words, they do not rely on noisy perceptualsystems, but instead acquire these words as units in a broader system of procedures, whosemeanings are ultimately defined by logical relations to one another, not perception.


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