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GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition
Florida Artificial Intelligence Research Society: The 29th International Flairs Conference
  • Erik Cambria, Nanyang Technological University
  • Tam Nguyen, University of Dayton
  • Brian Cheng, Singapore Polytechnic
  • Kenneth Kwok, Institute of High Performance Computing Agency for Science
  • Jose Sepulveda, National University of Singapore
Document Type
Conference Paper
Publication Date
5-1-2016
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
Comments

This document is provided for download in compliance with the publisher's policy on self-archiving. Permission documentation is on file.

Publisher
Association for the Advancement of Artificial Intelligence
Place of Publication
Key Largo, FL
Citation Information
Erik Cambria, Tam Nguyen, Brian Cheng, Kenneth Kwok, et al.. "GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition" Florida Artificial Intelligence Research Society: The 29th International Flairs Conference (2016)
Available at: http://works.bepress.com/tam-nguyen/13/