Interactive Agents Learning their Environment
Michiel Hildebrand, Anton Eliëns, Zhisheng Huang and Cees Visser
paper
{eliens,claire,huang,ctv}@cs.vu.nl
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Abstract
In this paper we describe the implementation of interactive agents
capable of gathering and extending their knowledge. Interactive
agents are 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.