ARCHON: an architecture for multi-agent systems
ARCHON: an architecture for multi-agent systems
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Task environment centered simulation
Simulating organizations
Artificial Intelligence - Special issue on Robocop: the first step
RoboCup-98: Robot Soccer World Cup II
RoboCup-98: Robot Soccer World Cup II
RoboCup-99: Robot Soccer World Cup III
RoboCup-99: Robot Soccer World Cup III
RoboCup 2000: Robot Soccer World Cup IV
RoboCup 2000: Robot Soccer World Cup IV
Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer
RoboCup 2000: Robot Soccer World Cup IV
The CMUnited-98 Small-Robot Team
RoboCup-98: Robot Soccer World Cup II
The CMUnited-99 Champion Simulator Team
RoboCup-99: Robot Soccer World Cup III
RoboCup-99: Robot Soccer World Cup III
A Multi-threaded Approach to Simulated Soccer Agents for the RoboCup Competition
RoboCup-99: Robot Soccer World Cup III
FC Portugal Team Description: RoboCup 2000 Simulation League Champion
RoboCup 2000: Robot Soccer World Cup IV
Layered learning in multiagent systems
Layered learning in multiagent systems
Journal of Artificial Intelligence Research
The RoboCup synthetic agent challenge 97
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Agents' advanced features for negotiation and coordination
Mutli-agents systems and applications
Roles in Collaborative Activity
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Agents' Advanced Features for Negotiation and Coordination
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
FC Portugal 2001 Team Description: Flexible Teamwork and Configurable Strategy
RoboCup 2001: Robot Soccer World Cup V
COACH UNILANG - A Standard Language for Coaching a (Robo)Soccer Team
RoboCup 2001: Robot Soccer World Cup V
Role allocation and reallocation in multiagent teams: towards a practical analysis
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A generic multi-robot coordination strategic layer
Proceedings of the 1st international conference on Robot communication and coordination
Discovering tactical behavior patterns supported by topological structures in soccer agent domains
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Fighting fire with agents: an agent coordination model for simulated firefighting
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Pareto-Optimal Offensive Player Positioning in Simulated Soccer
RoboCup 2007: Robot Soccer World Cup XI
Multi-agent Positioning Mechanism in the Dynamic Environment
RoboCup 2007: Robot Soccer World Cup XI
Roles, Positionings and Set Plays to Coordinate a RoboCup MSL Team
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Multi-robot team coordination through roles, positionings and coordinated procedures
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Understanding dynamic agent's reasoning
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Applying biological paradigms to emerge behaviour in robocup rescue team
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Dynamic positioning based on voronoi cells (DPVC)
RoboCup 2005
A multi-agent reinforcement learning approach to robot soccer
Artificial Intelligence Review
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In this paper we are proposing an approach for coordinating a team of homogeneous agents based on a flexible common Team Strategy as well as on the concepts of Situation Based Strategic Positioning and Dynamic Positioning and Role Exchange. We also introduce an Agent Architecture including a specific high-level decision module capable of implementing this strategy. Our proposal is based on the formalization of what is a team strategy for competing with an opponent team having opposite goals. A team strategy is composed of a set of agent types and a set of tactics, which are also composed of several formations. Formations are used for different situations and assign each agent a default spatial positioning and an agent type (defining its behaviour at several levels). Agent's reactivity is also introduced for appropriate response to the dynamics of the current situation. However, in our approach this is done in a way that preserves team coherence instead of permitting uncoordinated agent behaviour. We have applied, with success, this coordination approach to the RoboSoccer simulated domain. The FC Portugal team, developed using this approach won the RoboCup2000 (simulation league) European and World championships scoring a total of 180 goals and conceding none.