Abstract
Language | English |
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Number of pages | 8 |
Publication status | Published - 23 Aug 2019 |
Event | IEEE Conference on Games (COG) 2019 - London, United Kingdom Duration: 20 Aug 2019 → 23 Aug 2019 http://ieee-cog.org/ |
Conference
Conference | IEEE Conference on Games (COG) 2019 |
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Country | United Kingdom |
City | London |
Period | 20/08/19 → 23/08/19 |
Internet address |
Fingerprint
Keywords
- GVGAI
- GVGP
- game AI
- Ensemble Decision Systems
Cite this
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Ensemble Decision Systems for general video game playing. / Anderson, Damien; Rodgers, Philip; Levine, John; Guerrero-Romero, Cristina ; Perez-Liebana, Diego.
2019. Paper presented at IEEE Conference on Games (COG) 2019, London, United Kingdom.Research output: Contribution to conference › Paper
TY - CONF
T1 - Ensemble Decision Systems for general video game playing
AU - Anderson, Damien
AU - Rodgers, Philip
AU - Levine, John
AU - Guerrero-Romero, Cristina
AU - Perez-Liebana, Diego
PY - 2019/8/23
Y1 - 2019/8/23
N2 - Ensemble Decision Systems offer a unique form of decision making that allows a collection of algorithms to reason together about a problem. Each individual algorithm has its own inherent strengths and weaknesses, and often it is difficult to overcome the weaknesses, while retaining the strengths. Instead of altering the properties of the algorithm, the Ensemble Decision System augments the performance with other algorithms that have complementing strengths. This work outlines different options for building an Ensemble Decision System as well as providing analysis on its performance compared to the individual components of the system with interesting results, showing an increase in the generality of the algorithms without significantly impeding performance.
AB - Ensemble Decision Systems offer a unique form of decision making that allows a collection of algorithms to reason together about a problem. Each individual algorithm has its own inherent strengths and weaknesses, and often it is difficult to overcome the weaknesses, while retaining the strengths. Instead of altering the properties of the algorithm, the Ensemble Decision System augments the performance with other algorithms that have complementing strengths. This work outlines different options for building an Ensemble Decision System as well as providing analysis on its performance compared to the individual components of the system with interesting results, showing an increase in the generality of the algorithms without significantly impeding performance.
KW - GVGAI
KW - GVGP
KW - game AI
KW - Ensemble Decision Systems
UR - http://ieee-cog.org/
M3 - Paper
ER -