TY - GEN
T1 - Adaptive Game AI-Based Dynamic Difficulty Scaling via the Symbiotic Game Agent
AU - Sithungu, Siphesihle Philezwini
AU - Ehlers, Elizabeth Marie
N1 - Publisher Copyright:
© 2020, IFIP International Federation for Information Processing.
PY - 2020
Y1 - 2020
N2 - This work presents AdaptiveSGA, a model for implementing Dynamic Difficulty Scaling through Adaptive Game AI via the Symbiotic Game Agent framework. The use of Dynamic Difficulty Balancing in modern computer games is useful when looking to improve the entertainment value of a game. Moreover, the Symbiotic Game Agent, as a framework, provides flexibility and robustness as a design principle for game agents. The work presented here leverages both the advantages of Adaptive Game AI and Symbiotic Game Agents to implement a robust, efficient and testable model for game difficulty scaling. The model is discussed in detail and is compared to the original Symbiotic Game Agent architecture. Finally, the paper describes how it was applied in simulated soccer. Finally, experimental results, which show that Dynamic Difficulty Balancing was achieved, are briefly analyzed.
AB - This work presents AdaptiveSGA, a model for implementing Dynamic Difficulty Scaling through Adaptive Game AI via the Symbiotic Game Agent framework. The use of Dynamic Difficulty Balancing in modern computer games is useful when looking to improve the entertainment value of a game. Moreover, the Symbiotic Game Agent, as a framework, provides flexibility and robustness as a design principle for game agents. The work presented here leverages both the advantages of Adaptive Game AI and Symbiotic Game Agents to implement a robust, efficient and testable model for game difficulty scaling. The model is discussed in detail and is compared to the original Symbiotic Game Agent architecture. Finally, the paper describes how it was applied in simulated soccer. Finally, experimental results, which show that Dynamic Difficulty Balancing was achieved, are briefly analyzed.
KW - Adaptive Game AI
KW - Dynamic Difficulty Balancing
KW - Intelligent Agent Design
KW - Symbiotic Game Agents
UR - http://www.scopus.com/inward/record.url?scp=85087743476&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-46931-3_11
DO - 10.1007/978-3-030-46931-3_11
M3 - Conference contribution
AN - SCOPUS:85087743476
SN - 9783030469306
T3 - IFIP Advances in Information and Communication Technology
SP - 107
EP - 117
BT - Intelligent Information Processing X - 11th IFIP TC 12 International Conference, IIP 2020, Proceedings
A2 - Shi, Zhongzhi
A2 - Vadera, Sunil
A2 - Chang, Elizabeth
PB - Springer
T2 - 11th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2020
Y2 - 3 July 2020 through 6 July 2020
ER -