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iON AI
Synthesis
The first paper discusses an approach to the protein folding problem using statistical physics, emphasizing the stochastic nature of how polypeptides form their functional 3D structures. The second paper addresses constraint solving in constraint logic programming, focusing on domain reduction and using chaotic iteration to formalize computations, specifically in the context of debugging programs like GNU-Prolog.
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In this paper, we introduce an approach to the protein folding problem from the point of view of statistical physics. Protein folding is a stochastic process by which a polypeptide folds into its characteristic and functional 3D structure from random coil. The process involves an intricate interplay…
This work is devoted to constraint solving motivated by the debugging of constraint logic programs a la GNU-Prolog. The paper focuses only on the constraints. In this framework, constraint solving amounts to domain reduction. A computation is formalized by a chaotic iteration. The computed result is…