A Process Model of Cased-Based Reasoning in Problem Solving
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Cognitive Modelling. Pages 284-289.
Abstract
Much of the problem solving done by both novices and experts uses "case-based" reasoning, or reasoning by analogy to previous similar cases. We explore the ways in which case-based reasoning can help in problem solving. According to our model, transfer of knowledge between cases is guided largely by the problem solving process itself. Our model shows the interactions between problem solving processes and memory for experience. Our computer program, called the MEDIATOR, illustrates case-based reasoning in interpreting and resolving common sense disputes.
@inproceedings{ijcai1985p53,
title = {A Process Model of Cased-Based Reasoning in Problem Solving},
author = {Kolodner, Janet L. and Jr., Robert L. Simpson and Sycara, Katia P.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {284--289},
year = {1985},
note = {Cognitive Modelling},
url = {https://ijcai.org/proceedings/1985/53},
}
TY - CPAPER TI - A Process Model of Cased-Based Reasoning in Problem Solving AU - Kolodner, Janet L. AU - Jr., Robert L. Simpson AU - Sycara, Katia P. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 284 EP - 289 UR - https://ijcai.org/proceedings/1985/53 ER -Copied
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