Document Type
Conference Paper
Publication Date
5-2016
Publication Source
Florida Artificial Intelligence Research Society: The 29th International Flairs Conference
Abstract
Commonsense knowledge representation and reasoning is key for tasks such as artificial intelligence and natural language understanding. Since commonsense consists of information that humans take for granted, gathering it is an extremely difficult task. In this paper, we introduce a novel 3D game engine for commonsense knowledge acquisition (GECKA3D) which aims to collect commonsense from game designers through the development of serious games. GECKA3D integrates the potential of serious games and games with a purpose. This provides a platform for the acquisition of reusable and multi-purpose knowledge and also enables the development of games that can provide entertainment value and teach players something meaningful about the actual world they live in.
Inclusive pages
299-303
Document Version
Published Version
Copyright
Copyright © 2016, Association for the Advancement of Artificial Intelligence
Publisher
Association for the Advancement of Artificial Intelligence
Place of Publication
Key Largo, FL
eCommons Citation
Cambria, Erik; Nguyen, Tam; Cheng, Brian; Kwok, Kenneth; and Sepulveda, Jose, "GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition" (2016). Computer Science Faculty Publications. 85.
https://ecommons.udayton.edu/cps_fac_pub/85
Included in
Game Design Commons, Graphics and Human Computer Interfaces Commons, Other Computer Sciences Commons
Comments
This document is provided for download in compliance with the publisher's policy on self-archiving. Permission documentation is on file.