Open-ended Grounded Semantics

被引：1
作者：
Spranger, Michael [1 ]
Loetzsch, Martin [1 ]
Pauw, Simon [1 ]
机构：
[1] SONY Comp Sci Lab Paris, 6 Rue Amyot, F-75005 Paris, France
来源：
ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2010年 / 215卷
关键词：
LANGUAGE;
D O I：
10.3233/978-1-60750-606-5-929
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Artificial agents trying to achieve communicative goals in situated interactions in the real-world need powerful computational systems for conceptualizing their environment. In order to provide embodied artificial systems with rich semantics reminiscent of human language complexity, agents need ways of both conceptualizing complex compositional semantic structure and actively reconstructing semantic structure, due to uncertainty and ambiguity in transmission. Furthermore, the systems must be open-ended and adaptive and allow agents to adjust their semantic inventories in order to reach their goals. This paper presents recent progress in modeling open-ended, grounded semantics through a unified software system that addresses these problems.
引用
收藏
页码：929 / 934
页数：6
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