TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains

11/24/2018
by   Sriram Gopalakrishnan, et al.
0

Existing work for plan trace visualization in automated planning uses pipeline-style visualizations, similar to plans in Gantt charts. Such visualization do not capture the domain structure or dependencies between the various fluents and actions. Additionally, plan traces in such visualizations cannot be easily compared with one another without parsing the details of individual actions, which imposes a higher cognitive load. We introduce TGE-viz, a technique to visualize plan traces within an embedding of the entire transition graph of a domain in low dimensional space. TGE-viz allows users to visualize and criticize plans more intuitively for mixed-initiative planning. It also allows users to visually appraise the structure of domains and the dependencies in it.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/26/2019

Learning Action Models from Disordered and Noisy Plan Traces

There is increasing awareness in the planning community that the burden ...
research
07/11/2019

Data by Proxy -- Material Traces as Autographic Visualizations

Information visualization limits itself, per definition, to the domain o...
research
07/13/2021

Encoding Compositionality in Classical Planning Solutions

Classical AI planners provide solutions to planning problems in the form...
research
03/04/2018

Discovering Underlying Plans Based on Shallow Models

Plan recognition aims to discover target plans (i.e., sequences of actio...
research
09/13/2017

Visualizations for an Explainable Planning Agent

In this paper, we report on the visualization capabilities of an Explain...
research
01/23/2014

Algorithms and Limits for Compact Plan Representations

Compact representations of objects is a common concept in computer scien...
research
01/18/2022

Demonstration of VegaPlus: Optimizing Declarative Visualization Languages

While many visualization specification languages are user-friendly, they...

Please sign up or login with your details

Forgot password? Click here to reset