Computers and Industrial Engineering
IGAP: interactive genetic algorithm peer to peer
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A Neural-Evolutionary Model for Case-Based Planning in Real Time Strategy Games
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Machine learning in digital games: a survey
Artificial Intelligence Review
Advances in Games Technology: Software, Models, and Intelligence
Simulation and Gaming
Retaining the lessons from past for better performance in a dynamic multiple task environment
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Towards creative design using collaborative interactive genetic algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Case Indexing Using PSO and ANN in Real Time Strategy Games
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Evolving coordinated spatial tactics for autonomous entities using influence maps
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Case learning and indexing in real time strategy games
ICNC'09 Proceedings of the 5th international conference on Natural computation
Coevolving influence maps for spatial team tactics in a RTS game
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Adaptive two-player videogames
Expert Systems with Applications: An International Journal
Design of emergent and adaptive virtual players in a war RTS game
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
A Computational Model of Collaborative Creativity: A Meta-Design Approach
International Journal of Knowledge and Systems Science
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We use case-injected genetic algorithms (CIGARs) to learn to competently play computer strategy games. CIGARs periodically inject individuals that were successful in past games into the population of the GA working on the current game, biasing search toward known successful strategies. Computer strategy games are fundamentally resource allocation games characterized by complex long-term dynamics and by imperfect knowledge of the game state. CIGAR plays by extracting and solving the game's underlying resource allocation problems. We show how case injection can be used to learn to play better from a human's or system's game-playing experience and our approach to acquiring experience from human players showcases an elegant solution to the knowledge acquisition bottleneck in this domain. Results show that with an appropriate representation, case injection effectively biases the GA toward producing plans that contain important strategic elements from previously successful strategies.