A strategy of knowledge representation for uncertain problems: modeling domain expert knowledge with patterns

Patterns as sets of somehow coherent information are feasible metaphors and tools for representation of weakly structured or unstructured knowledge in an open, infinite world. This view follows the evolutionary theory of mind representation. A practical computational formulation is given with pattern relationships based on the metapattern concept. The pattern space is mostly nonmetric due to the limited dimensional view of infinite dimensional objects. The faults of the metric suggest directions in exploring further knowledge and eliciting tacit knowledge of experts. Man-machine interaction has a special role in the process, explored by cognitive psychology methods and special graphic tools for input-output representation