Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments

被引：3
|
作者：
Kolonin, Anton [1 ,2 ,3 ]
机构：
[1] Aigents, Novosibirsk, Russia
[2] SingularityNET Fdn, Amsterdam, Netherlands
[3] Novosibirsk State Univ, Novosibirsk, Russia
来源：
ARTIFICIAL GENERAL INTELLIGENCE, AGI 2021 | 2022年 / 13154卷
关键词：
Artificial general intelligence; Cognitive architecture; Domain ontology; Experiential learning; Global feedback; Local feedback; Neurosymbolic integration; Operational space; Reinforcement learning;
D O I：
10.1007/978-3-030-93758-4_12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presents a "horizontal neuro-symbolic integration" approach for artificial general intelligence along with elementary representation-agnostic cognitive architecture and explores its usability under the experiential learning framework for reinforcement learning problem powered by "global feedback".
引用
收藏
页码：106 / 115
页数：10
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