Traditionally, behavior of Computer Generated Forces (CGFs) is controlled through scripts. Building such scripts requires time and expertise, and becomes harder as the domain becomes richer and more life-like. These downsides can be reduced by automatically generating behavior for CGFs using machine learning techniques. This paper focuses on Dynamic Scripting (DS), a technique tailored to generating agent behavior. DS searches for an optimal combination of rules from a rule base. Under the assumption that intra-team coordination leads to more effective learning, we propose an extension of DS, called DS+C, with explicit coordination. In a comparison with regular DS we find that the addition of team coordination results in earlier convergence to optimal behavior. In addition, we achieved a performance increase of 20% against an unpredictable opponent. With DS+C, behavior for CGFs can be generated that is more effective since the CGFs act on knowledge achieved by coordination and the behavior converges more efficiently than with regular DS.
|Title of host publication||Modern Advances in Applied Intelligence Lecture Notes in Computer Science|
|Subtitle of host publication||27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 Proceedings, Part I|
|Publisher||Springer International Publishing|
|Number of pages||10|
|Publication status||Published - 2014|
|Event||27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 - Kaohsiung, Taiwan, Province of China|
Duration: 3 Jun 2014 → 6 Jun 2014
|Name||Lecture Notes in Computer Science|
|Conference||27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014|
|Country||Taiwan, Province of China|
|Period||3/06/14 → 6/06/14|
Toubman, A., Roessingh, J. J., Spronck, P. H. M., Plaat, A., & van den Herik, H. J. (2014). Dynamic Scripting with Team Coordination in Air Combat Simulation. In Modern Advances in Applied Intelligence Lecture Notes in Computer Science: 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 Proceedings, Part I (27 ed., Vol. 8481, pp. 440-449 ). (Lecture Notes in Computer Science). Springer International Publishing.