A simple method for decision making in robocup soccer simulation 3d environment
Abstract—In this paper new hier archical hybrid fuzzy-crisp methods for decision making and action selection of an agent in soccer simulation 3D environment are presented. First, the skills of an agent are introduced, implemented and classified in two layers, the basicskills and the highlevel skil...
- Autores:
-
Maleki, Khashayar Niki
Valipour, Mohammad Hadi
Ashrafi, Roohollah Yeylaghi
Mokari, Sadegh
Jamali, M. R.
Lucas, Caro
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2008
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/24453
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/24453
http://bdigital.unal.edu.co/15490/
- Palabra clave:
- Multi-Agent systems
Machine learning
Artificial intelligence
Reinforcement learning
Fuzzy Logic
Fuzzy reinforcement learning
RoboCup soccer simulation.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional