Affect As Motivation For Cognitive And Conative Processes
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Psychological Aspects Of A.I.. Pages 893-899.
Abstract
Responding to natural language requires performing two major tasks: information processing (cognition), .and decision making (conation) . In order to motivate and best guide an entity performing such complex tasks, motivation must originate in the self-interest of the entity. This motivation guides cognitive and conative processes at the lowest possible level by assigning values (measures of importance) to various process components and using them in making process decisions. Through such a motivational mechanism, every decision taken will be to further the entity's self-interests. We describe a model for such a mechanism and the affect process which embodies self-interests.
@inproceedings{ijcai1975p141,
title = {Affect As Motivation For Cognitive And Conative Processes},
author = {Faught, William S.},
booktitle = {Proceedings of the Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-75}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Patrick Winston and Carl Hewitt},
pages = {893--899},
year = {1975},
note = {Psychological Aspects Of A.I.},
url = {https://ijcai.org/proceedings/1975/141},
}
TY - CPAPER TI - Affect As Motivation For Cognitive And Conative Processes AU - Faught, William S. T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 893 EP - 899 UR - https://ijcai.org/proceedings/1975/141 ER -Copied
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