Helli-Respina 2001 Team Description Paper

Autor:	Omid Aladini, B Bahador Nooraei, N Siavash Rahbar
Rok vydání:	2002
Předmět:	Intelligent agent Computer science business.industry Unsupervised learning Artificial intelligence computer.software_genre Agent architecture business computer
Zdroj:	RoboCup 2001: Robot Soccer World Cup V ISBN: 9783540439127 RoboCup
DOI:	10.1007/3-540-45603-1_73
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ffe49722439c4fb176eeb6f970c854bf https://doi.org/10.1007/3-540-45603-1_73 Zobrazit plný text záznamu