Focus of Control Through Goal Relationships
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Cognitive Models. Pages 497-502.
Abstract
Goal relationships resulting from the initial data and subsequent processing can be used to dvnamicallv construct a partial topology of the ~olution space based on what appear to be feasible solutions. This structure can be used to make control decisions that significantly reduce the amount of search required to solve a problem in a complex domain. We examine the utility of this approach in the context of a multi-le~el, cooperative knowledge source model of problem solving. We present a taxonomy of goal relationships for constructing partial topologies of the solution space and show that mechanisms using this information can be built as natural extensions of an integrated data-directed and goal-directed arc hitecture. Examples and performance results demonstrating how these additions improve the system's ability to evaluate potential activities are provided.
@inproceedings{ijcai1989p80,
title = {Focus of Control Through Goal Relationships},
author = {Lesser, Victor R. and Corkill, Daniel D. and Whitehair, Robert and Hernandez, J. A.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {497--502},
year = {1989},
month = {8},
note = {Cognitive Models},
url = {https://ijcai.org/proceedings/1989/80},
}
TY - CPAPER TI - Focus of Control Through Goal Relationships AU - Lesser, Victor R. AU - Corkill, Daniel D. AU - Whitehair, Robert AU - Hernandez, J. A. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 497 EP - 502 UR - https://ijcai.org/proceedings/1989/80 ER -Copied
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