RRL: A Rich Representation Language for the Description of Agent Behaviour in NECA
P. Piwek, B. Krenn, M. Schroeder, M. Grice, S. Baumann, H. Pirker
TL;DR
This paper introduces RRL, an XML-based language designed to standardize and facilitate the description of agent behaviors within the NECA animated character interaction system.
Contribution
It presents the design and implementation of RRL, a comprehensive language for representing agent behavior information in NECA.
Findings
RRL is XML compliant and modular.
It improves interoperability between NECA modules.
The language supports detailed behavior descriptions.
Abstract
In this paper, we describe the Rich Representation Language (RRL) which is used in the NECA system. The NECA system generates interactions between two or more animated characters. The RRL is an XML compliant framework for representing the information that is exchanged at the interfaces between the various NECA system modules. The full XML Schemas for the RRL are available at http://www.ai.univie.ac.at/NECA/RRL
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Taxonomy
TopicsSpeech and dialogue systems · Natural Language Processing Techniques · Multi-Agent Systems and Negotiation