Helli-Respina 2001 Team Description Paper
One of the most important problems for development of intelligent agents is adaptation to the environment. In this paper we briefly describe Helli-Respina soccer simulator team that uses a new self-adaptive method named Dynamic Multi-Behavior Assessment (DMBA). By using built-in behavior manager named dynamic behavior transformer method lets the agent can choose the best algorithms to decide during the game. This system always tries to choose a set of available algorithms to get the best result against each opponent. The main objective in this research is how to choose a set of algorithms dynamically to get the best result against an opponent.
KeywordsIntelligent Agent Agent Architecture Server Cycle Opponent Team Unsupervised Machine Learning
Unable to display preview. Download preview PDF.
- 1.Bahador Nooraei B., Omid Aladini and Siavash Rahbar N.: Dynamic multi-behavior assessment:an approach to unsupervised machine learning, (2001)Google Scholar
- 2.Peter Stone, Manuela Veloso and Patrick Riley: The CMUnited99 soccer simulator team, (1999)Google Scholar
- 3.Hironori Aoyagi, Hiroki Shimora, Takuya Morishita, Tomomi Kawarabayashi, Takenori Kubo, Kyouiti Hiroshima, Junji Nishino: The Zeng 99 soccer simulator team, (1999)Google Scholar