On-the-fly generation of multi-robot team formation strategies based on game conditions

Author:

Atkinson John,Rojas Dario

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference19 articles.

1. Arroyo, R. (1997). Football: Game analysis. Wanceulen Ed (In Spanish).

2. Chalup, Stephan, Creek, Nathan, Freeston, Leonie, Lovell, Nathan, & Williams, Mary-Anne (2002). When the nubots attack! – the nubots 2002 team report. Technical report, Newcastle Robotics Laboratory, The University of Newcastle, Australia.

3. Understanding agent systems;dInverno,2004

4. Multi-agent systems: An introduction to distributed artificial intelligence;Ferber,1999

5. Frias, Vanessa., & Sklar, Elizabeth (2004). A team-based co-evolutionary approach to multi-agent learning. In Proceedings of the Workshop on Learning and Evolution in Agent Based Systems, New York.

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1. Arquitectura Basada en Roles Aplicada en Equipos de Fútbol de Robots con Control Centralizado;Revista Iberoamericana de Automática e Informática Industrial RIAI;2016-07

2. Architecting centralized coordination of soccer robots based on principle solution;Advanced Robotics;2015-04

3. Computer Science in Sport;Encyclopedia of Information Science and Technology, Third Edition;2015

4. Autonomous intelligent decision-making system based on Bayesian SOM neural network for robot soccer;Neurocomputing;2014-03

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