Domain Authoring Assistant for Intelligent Virtual Agents
April 05, 2019 Β· Declared Dead Β· π Adaptive Agents and Multi-Agent Systems
"No code URL or promise found in abstract"
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Authors
Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann, Mubbasir Kapadia
arXiv ID
1904.03266
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL,
cs.MA
Citations
16
Venue
Adaptive Agents and Multi-Agent Systems
Last Checked
4 months ago
Abstract
Developing intelligent virtual characters has attracted a lot of attention in the recent years. The process of creating such characters often involves a team of creative authors who describe different aspects of the characters in natural language, and planning experts that translate this description into a planning domain. This can be quite challenging as the team of creative authors should diligently define every aspect of the character especially if it contains complex human-like behavior. Also a team of engineers has to manually translate the natural language description of a character's personality into the planning domain knowledge. This can be extremely time and resource demanding and can be an obstacle to author's creativity. The goal of this paper is to introduce an authoring assistant tool to automate the process of domain generation from natural language description of virtual characters, thus bridging between the creative authoring team and the planning domain experts. Moreover, the proposed tool also identifies possible missing information in the domain description and iteratively makes suggestions to the author.
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