Artificial intelligence for genomic interpretation

Biological entities present a complexity level that should be correctly managed in Artificial Intelligence environments. One has to describe and access them in a proper way. What is the role of symbolic learning in this context? The authors define semi-empirical knowledge and theories, which constitute their goals. Knowledge is represented by the means of conceptual graphs, which allow one to manage easily the control of any process of iterative learning to refine the expert's knowledge. They present an illustration of these principles in a specific domain, protein folding.<
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