Name
Abstract | ||
|---|---|---|
The objective is to determine how close an Artificial Intelligence agent is, in comparison to a human player, using only game play images. Identifying Artificial Intelligence agents during game play is typically done through the analysis and collection of bio-metric data, such as keyboard, mouse and other controller interfaces. This document presents a model of an Auto Encoder architecture, with L... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DCOSS52077.2021.00057 | 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS) |
Keywords | DocType | ISSN |
artificial intelligence,auto encoder,motion history image,similarity metric,anomaly detection | Conference | 2325-2936 |
ISBN | Citations | PageRank |
978-1-6654-3929-9 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gordon Johnson | 1 | 0 | 0.34 |
| Vasileios Argyriou | 2 | 279 | 30.51 |
| Christos Politis | 3 | 0 | 0.34 |