Teachable characters: semantic neural networks in game AI

Authors:
Harri Ketamo
Affiliations:
Satakunta University of Applied Sciences, Pori, Finland
Venue:
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
Year:
2009

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Abstract

The aim of the study was to apply machine learning into educational game and evaluate the outcome in context of cognitive psychology of learning. The study was done in two phases: design phase and evaluation phase (N=59). The design of the game was done in order to support relatively free teaching of a virtual pet in an easy-to-use environment. The main finding of the study was a clear causality between quality of teaching in game world and players' knowledge in real life.