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- Title
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agent’s Location Using Hidden Markov Models.
- Authors
Beaulac, Cédric; Larribe, Fabrice
- Abstract
We propose to use a supervised machine learning technique to track the location of a mobile agent in real time. Hidden Markov Models are used to build artificial intelligence that estimates the unknown position of a mobile target moving in a defined environment. This narrow artificial intelligence performs two distinct tasks. First, it provides real-time estimation of the mobile agent’s position using the forward algorithm. Second, it uses the Baum–Welch algorithm as a statistical learning tool to gain knowledge of the mobile target. Finally, an experimental environment is proposed, namely, a video game that we use to test our artificial intelligence. We present statistical and graphical results to illustrate the efficiency of our method.
- Subjects
ARTIFICIAL intelligence; MACHINE learning; REAL-time computing; HIDDEN Markov models; COMPUTER algorithms
- Publication
International Journal of Computer Games Technology, 2017, p1
- ISSN
1687-7047
- Publication type
Article
- DOI
10.1155/2017/4939261