Title
Interactive Agents Learning Their Environment
Abstract
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.
Year
DOI
Venue
2003
10.1007/978-3-540-39396-2_3
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
natural lan- guage,grail.,vrml,dlp,learning,virtual environments,interactive agents,natural language,virtual environment
Embodied agent,Computer science,Phrase,Natural language,Three dimensional model,Multimedia,Sentence,The Internet
Conference
Volume
ISSN
Citations 
2792
0302-9743
3
PageRank 
References 
Authors
0.49
3
4
Name
Order
Citations
PageRank
Michiel Hildebrand131927.31
Anton Eliëns216933.24
Zhisheng Huang398995.29
Cees T. Visser4101.72