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.
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Hildebrand, M., Eliëns, A., Huang, Z., Visser, C. (2003). Interactive Agents Learning Their Environment. In: Rist, T., Aylett, R.S., Ballin, D., Rickel, J. (eds) Intelligent Virtual Agents. IVA 2003. Lecture Notes in Computer Science(), vol 2792. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39396-2_3
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DOI: https://doi.org/10.1007/978-3-540-39396-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20003-1
Online ISBN: 978-3-540-39396-2
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