Artificial Intelligence in Video Games: Towards a Unified Framework
With modern video games frequently featuring sophisticated and realistic environments, the need for smart and comprehensive agents that understand the various aspects of complex environments is pressing. Since video game AI is often specifically designed for each game, video game AI tools currently...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2015-01-01
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| Series: | International Journal of Computer Games Technology |
| Online Access: | http://dx.doi.org/10.1155/2015/271296 |
| Summary: | With modern video games frequently featuring sophisticated
and realistic environments, the need
for smart and comprehensive agents that understand
the various aspects of complex environments
is pressing. Since video game AI is often
specifically designed for each game, video game AI
tools currently focus on allowing video game developers
to quickly and efficiently create specific
AI. One issue with this approach is that it does not
efficiently exploit the numerous similarities that
exist between video games not only of the same
genre, but of different genres too, resulting in a
difficulty to handle the many aspects of a complex
environment independently for each video game.
Inspired by the human ability to detect analogies
between games and apply similar behavior on a
conceptual level, this paper suggests an approach
based on the use of a unified conceptual framework
to enable the development of conceptual AI
which relies on conceptual views and actions to
define basic yet reasonable and robust behavior.
The approach is illustrated using two video games,
Raven and StarCraft: Brood War. |
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| ISSN: | 1687-7047 1687-7055 |