This article contributes to developing a management and organisation studies perspective on political organising by focusing on: (a) populism; (b) the exercise of power; (c) politics. We address two questions: in what ways have English populist politicians 20th 21st centuries utilised language along with other aspects campaign build enhance their symbolic power? And: how do organisations conver...

Decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. The resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. The most comprehensible decision trees have been designed for perfect symbolic data. Classical crisp decision trees (DT) are widely applied to classification t...

Similarly to other connectionist models, Graph Neural Networks (GNNs) lack transparency in their decision-making. A number of sub-symbolic approaches have been developed provide insights into the GNN decision making process. These are first important steps on way explainability, but generated explanations often hard understand for users that not AI experts. To overcome this problem, we introduc...

Symbolic pattern solving is a new approach for nding symbolic solutions of equa-tional constraints over arbitrary algebraic structures. Despite the deep results and methods already produced in equational constraint solving, real-world applications still cannot be tackled. To reduce the original complexity, the approach advocated here uses the solution pattern, the skeleton of the solution often...