Interactive agents learning their environment

被引：0

作者：

Hildebrand, M ^{[1
]}

Eliëns, A ^{[1
]}

Huang, ZS ^{[1
]}

Visser, C ^{[1
]}

机构：

[1] Vrije Univ Amsterdam, Intelligent Multimedia Grp, Amsterdam, Netherlands

来源：

INTELLIGENT VIRTUAL AGENTS | 2003年 / 2792卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper(1) we describe the implementation of interactive agents capable of gathering and extending their knowledge. Interactive agents axe designed to perform tasks requested by a user in natural language. Using simple sentences the agent can answer questions and in case a task can not be fulfilled the agent must communicate with the user. In particular, an interactive agent can tell when necessary information for a task is missing, giving the user a chance to supply this information, which may in effect result in teaching the agent. The interactive agent platform is implemented in DLP, a tool for the implementation of 3D web agents. In this paper we discuss the motivation for interactive agents, the learning mechanisms and it's realization in the DLP platform.

引用

页码：13 / 17

页数：5

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