Abstract
A diagrammatic problem-solver requires a library of visual routines (VRs) and action routines (ARs) – the VRs are used to obtain information of specified types from the diagram and ARs to modify the diagram in specified ways. The VRs/ARs required are unbounded – a new domain may call for new perceptions and actions. We report on progress on our research in building an automated VR/AR synthesis system that would take as input the definition of a new routine in terms of existing routines in the library and well-defined mathematical/logical constraints and synthesize the program for the desired routine using constraint programming. We illustrate the ideas by means of an example.
This research was supported by participation in the Advanced Decision Architectures Collaborative Technology Alliance sponsored by the U.S. Army Research Laboratory under Cooperative Agreement DAAD19-01-2-0009.
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Banerjee, B., Chandrasekaran, B. (2006). Synthesizing Visual and Action Routines Using Constraint Programming. In: Barker-Plummer, D., Cox, R., Swoboda, N. (eds) Diagrammatic Representation and Inference. Diagrams 2006. Lecture Notes in Computer Science(), vol 4045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783183_26
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DOI: https://doi.org/10.1007/11783183_26
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