MMFeb 3, 2016

GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition

arXiv:1602.01178v14 citations
Originality Incremental advance
AI Analysis

This addresses the problem of commonsense knowledge representation for AI and natural language understanding tasks, though it appears incremental as it builds on existing concepts like serious games and games with a purpose.

The paper tackles the challenge of acquiring commonsense knowledge, which is difficult to gather due to its implicit nature, by introducing GECKA3D, a 3D game engine that collects such knowledge from game designers through serious games, resulting in a platform for reusable and multi-purpose knowledge acquisition.

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 re-usable 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.

Foundations

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