What Enables a Machine to Understand?
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Philosophical Foundations. Pages 995-1000.
Abstract
The 'Strong Al' claim that suitably programmed computers can manipulate symbols that THEY understand is defended, and conditions for understanding discussed. Even computers without Al programs exhibit a significant subset of characteristics of human understanding. To argue about whether machines can REALLY understand is to argue about mere definitional matters. But there is a residual ethical question.
Aaron Sloman. 1985. What Enables a Machine to Understand?. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85. IJCAI, 995–1000. https://ijcai.org/proceedings/1985/200
Sloman, A. (1985). What Enables a Machine to Understand?. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 (pp. 995–1000). IJCAI. https://ijcai.org/proceedings/1985/200
@inproceedings{ijcai1985p200,
title = {What Enables a Machine to Understand?},
author = {Sloman, Aaron},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {995--1000},
year = {1985},
note = {Philosophical Foundations},
url = {https://ijcai.org/proceedings/1985/200},
}
TY - CPAPER TI - What Enables a Machine to Understand? AU - Sloman, Aaron T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 995 EP - 1000 UR - https://ijcai.org/proceedings/1985/200 ER -Copied
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