The Common Model of Cognition and humanlike language comprehension

被引:2
作者
Lindes, Peter [1 ]
机构
[1] Univ Michigan, 2260 Hayward St, Ann Arbor, MI 48109 USA
来源
POSTPROCEEDINGS OF THE 9TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA 2018) | 2018年 / 145卷
关键词
Common Model of Cognition; language comprehension; Soar; ECG;
D O I
10.1016/j.procs.2018.11.032
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Cognitive Model of Cognition (CMC) describes a consensus among many researchers about architectural assumptions that define aspects of humanlike minds, whether natural or artificial. This consensus combines ideas from several existing cognitive architectures. Our research group has been developing a theory and an implemented system to do humanlike language comprehension within an embodied autonomous agent. This paper analyzes how this theory of humanlike language comprehension maps onto the CMC, what extensions to the CMC it might suggest, and what major challenges for the CMC come from applying it to language processing. (C) 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures.
引用
收藏
页码:765 / 772
页数:8
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