Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Provenance-Based Assessment of Plans in Context   Many real-world planning domains involve diverse information sources,
external entities, and variable-reliability agents, all of which may impact the
confidence, risk, and sensitivity of plans. Humans reviewing a plan may lack
context about these factors; however, this information is available during the
domain generation, which means it can also be interwoven into the planner and
its resulting plans. This paper presents a provenance-based approach to
explaining automated plans. Our approach (1) extends the SHOP3 HTN planner to
generate dependency information, (2) transforms the dependency information into
an established PROV-O representation, and (3) uses graph propagation and
TMS-inspired algorithms to support dynamic and counter-factual assessment of
information flow, confidence, and support. We qualified our approach's
explanatory scope with respect to explanation targets from the automated
planning literature and the information analysis literature, and we demonstrate
its ability to assess a plan's pertinence, sensitivity, risk, assumption
support, diversity, and relative confidence.

16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom