Performance in Practical Problem Solving
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 535-539.
Abstract
The _quantity of resources that an agent expends in solvmg problems in a given domain is determined by ~e representations and search control strategies that 1t empl?ys. The value <?findivid~al representations or strategtes to the agent 1s determmed by their contribution to the resource expenditure. We argue here that in order to choose the component representations and strategies appropriate for a par?cular P.rob.lem domain it is necessary to measure thetr contnbution to the resource expenditure on the actual problems the agent faces. Thts is as true for a system designer making such choices as it is for an autonomou~ mech~nic~l agent. "fte present one way to me!lsure th1s contr1~ut10n an~ gtve an example in whtch the measure 1s used to 1m prove problem solving performance.
@inproceedings{ijcai1987p107,
title = {Performance in Practical Problem Solving},
author = {Hartman, Leo B. and Tenenberg, Josh D.},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {535--539},
year = {1987},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1987/107},
}
TY - CPAPER TI - Performance in Practical Problem Solving AU - Hartman, Leo B. AU - Tenenberg, Josh D. T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 535 EP - 539 UR - https://ijcai.org/proceedings/1987/107 ER -Copied
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