Abstract — We evolve tactical control for entity groups in a naval real-time strategy game. Since tactical maneuvering involves spatial reasoning, our evolutionary algorithm evolves a set of influence maps that help specify an entity’s spatial ob-jectives. The entity then uses the A * route finding algorithm to generate waypoints according to the influcene map, and follows them to achieve spatial objectives. Using this representation, our evolutionary algorithm quickly evolves increasingly better capture-the-flag tactics on three increasingly difficult maps. These preliminary results indicate (1) the usefulness of our particular influence map encoding for representing spatially resolved tactics and (2) the potential for using co-evolution t...
This thesis explores the combination of influence maps and potential fields in two novel pathfinding...
This paper presents a search-based method for generating maps for the popular real-time strategy (RT...
In this paper, we propose the strategy of integrating multiple evolutionary processes for personaliz...
Abstract — We investigate the use of genetic algorithms to play real-time computer strategy games. T...
Abstract — We investigate the use of genetic algorithms to evolve AI players for real-time strategy ...
his paper shows how multiobjective evolutionary algorithms can be used to procedurally generate comp...
the date of receipt and acceptance should be inserted later Abstract This paper shows how multiobjec...
9th International Conference on Large Scale Scientific Computations. The final publication is availa...
Real-time strategy (RTS) games constitute one of the largest game genres today and have done so for ...
Influence Maps have been successfully used in controlling the navigation of multiple units. In this ...
Procedural content generation (PCG) is a research eld on the rise,with numerous papers devoted to t...
We explore the use of neuroevolution to evolve control tactics for groups of units in real-time stra...
Spatial reasoning is a major source of difficulties for strategy game AIs. We conjecture that qualit...
Spatial reasoning is a major source of difficulties for strategy game AIs. We conjecture that qualit...
In this paper, we propose the strategy of integrating multiple evolutionary processes for personaliz...
This thesis explores the combination of influence maps and potential fields in two novel pathfinding...
This paper presents a search-based method for generating maps for the popular real-time strategy (RT...
In this paper, we propose the strategy of integrating multiple evolutionary processes for personaliz...
Abstract — We investigate the use of genetic algorithms to play real-time computer strategy games. T...
Abstract — We investigate the use of genetic algorithms to evolve AI players for real-time strategy ...
his paper shows how multiobjective evolutionary algorithms can be used to procedurally generate comp...
the date of receipt and acceptance should be inserted later Abstract This paper shows how multiobjec...
9th International Conference on Large Scale Scientific Computations. The final publication is availa...
Real-time strategy (RTS) games constitute one of the largest game genres today and have done so for ...
Influence Maps have been successfully used in controlling the navigation of multiple units. In this ...
Procedural content generation (PCG) is a research eld on the rise,with numerous papers devoted to t...
We explore the use of neuroevolution to evolve control tactics for groups of units in real-time stra...
Spatial reasoning is a major source of difficulties for strategy game AIs. We conjecture that qualit...
Spatial reasoning is a major source of difficulties for strategy game AIs. We conjecture that qualit...
In this paper, we propose the strategy of integrating multiple evolutionary processes for personaliz...
This thesis explores the combination of influence maps and potential fields in two novel pathfinding...
This paper presents a search-based method for generating maps for the popular real-time strategy (RT...
In this paper, we propose the strategy of integrating multiple evolutionary processes for personaliz...