ML Anthology

Towards Situated Explanation

Raja Sooriamurthi, David B. Leake
AAAI 1994 pp. 1492
/aaai/1994/sooriamurthi1994aaai-situated/

Abstract

in a dynamic environment. Related to earlier work on goal-directed diagnosis (Rymon 1993), a major issue being addressed in this research is how contextual changes influence the ongoing explanation process. As an example of the issues to address consider the following scenario implemented in our system. The planner is trying to achieve the goal of catching a plane and generates two possible plans: driving to the airport or taking a taxi. Choosing the option of driving, the plan steps are executed in a simulated world and it is detected that the car does not start. In trying to determine why the car will not start our model of the ensuing explanation process involves: ffl Situated reasoning. The explanation process responds to two types of situational changes: 1. Changes in the external environment: For example, due to time constraints the explanation effort could be curtailed and the system might choose the alternative plan of taking a taxi. But if

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Cite

Text

Sooriamurthi and Leake. "Towards Situated Explanation." AAAI Conference on Artificial Intelligence, 1994.

Markdown

[Sooriamurthi and Leake. "Towards Situated Explanation." AAAI Conference on Artificial Intelligence, 1994.](https://mlanthology.org/aaai/1994/sooriamurthi1994aaai-situated/)

BibTeX

@inproceedings{sooriamurthi1994aaai-situated,
  title     = {{Towards Situated Explanation}},
  author    = {Sooriamurthi, Raja and Leake, David B.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1994},
  pages     = {1492},
  url       = {https://mlanthology.org/aaai/1994/sooriamurthi1994aaai-situated/}
}