Visualising Reasoning: What ATP Can Learn From CP

Authors:
John Slaney
Affiliations:
Australian National University and National ICT Australia
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2012

Citing 4
Cited 0

FADE: Graph Drawing, Clustering, and Visual Abstraction

GD '00 Proceedings of the 8th International Symposium on Graph Drawing
Constraint Logic Programming using Eclipse

Constraint Logic Programming using Eclipse
G12 - Towards the Separation of Problem Modelling and Problem Solving

CPAIOR '09 Proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
MiniZinc: towards a standard CP modelling language

CP'07 Proceedings of the 13th international conference on Principles and practice of constraint programming

Quantified Score

Hi-index	0.00

Visualization

Abstract

Tools for graphical representation of problems in automated deduction or of proof searches are rare and mostly primitive. By contrast, there is a more substantial history of work in the constraint programming community on information visualisation techniques for helping programmers and end users to understand problems, searches and solutions. Here we consider the extent to which concepts and tools from a constraint programming platform can be adapted for use with automatic theorem provers.