The Self-Referential Genetic Code is Biologic and Includes the Error Minimization Property

2015 ◽  
Vol 45 (1-2) ◽  
pp. 69-75 ◽  
Author(s):  
Romeu Cardoso Guimarães
2017 ◽  
Author(s):  
Jakob Hohwy ◽  
John Michael

We use a general computational framework for brain function to develop a theory of the self. The theory is that the self is an inferred model of endogenous, deeply hidden causes of behavior. The general framework for brain function on which we base this theory is that the brain is fundamentally an organ for prediction error minimization.There are three related parts to this project. In the first part (Sections 2-3), we explain how prediction error minimization must lead to the inference of a network of deeply hidden endogenous causes. The key concept here is that prediction error minimization in the long term approximates hierarchical Bayesian inference, where the hierarchy is critical to understand the place of the self, and the body, in the world.In the second part (Sections 4-5), we discuss why such a set of hidden endogenous causes should qualify as a self. We show how a comprehensive prediction error minimization account can accommodate key characteristics of the self. It turns out that, though the modelled endogenous causes are just some among other inferred causes of sensory input, the model is special in being, in a special sense, a model of itself.The third part (Sections 6-7) identifies a threat from such self-modelling: how can a self-model be accurate if it represents itself? We propose that we learn to be who we are through a positive feedback loop: from infancy onward, humans apply agent-models to understand what other agents are up to in their environment, and actively align themselves with those models. Accurate self-models arise and are sustained as a natural consequence of humans’ skill in modeling and interacting with each other. The concluding section situates this inferentialist yet realist theory of the self with respect to narrative conceptions of the self.


2000 ◽  
Vol 204 (1) ◽  
pp. 15-20 ◽  
Author(s):  
ANDRÉ R.O. CAVALCANTI ◽  
BENÍCIO DE BARROS NETO ◽  
RICARDO FERREIRA

2011 ◽  
Vol 8 (5) ◽  
pp. 1358-1372 ◽  
Author(s):  
H. Buhrman ◽  
P. T. S. van der Gulik ◽  
S. M. Kelk ◽  
W. M. Koolen ◽  
L. Stougie

2021 ◽  
Author(s):  
Evan Janzen ◽  
Yuning Shen ◽  
Ziwei Liu ◽  
Celia Blanco ◽  
Irene A. Chen

The emergence of the genetic code was a major transition in the evolution from a prebiotic RNA world to the earliest modern cells. A prominent feature of the standard genetic code is error minimization, or the tendency of mutations to be unusually conservative in preserving biophysical features of the amino acid. While error minimization is often assumed to result from natural selection, it has also been speculated that error minimization may be a by-product of emergence of the genetic code. During establishment of the genetic code in an RNA world, self-aminoacylating ribozymes would enforce the mapping of amino acids to anticodons. Here we show that expansion of the genetic code, through co-option of ribozymes for new substrates, could result in error minimization as an emergent property. Using self-aminoacylating ribozymes previously identified during an exhaustive search of sequence space, we measured the activity of thousands of candidate ribozymes on alternative substrates (activated analogs for tryptophan, phenylalanine, leucine, isoleucine, valine, and methionine). Related ribozymes exhibited preferences for biophysically similar substrates, indicating that co-option of existing ribozymes to adopt additional amino acids into the genetic code would itself lead to error minimization. Furthermore, ribozyme activity was positively correlated with specificity, indicating that selection for increased activity would also lead to increased specificity. These results demonstrate that by-products of the evolution and functional expansion of a ribozyme system could lead to adaptive properties of a genetic code. Such 'spandrels' could thus underlie significant prebiotic developments.


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