Needles in a haystack: plan recognition in large spatial domains involving multiple agents
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
It knows what you're going to do: adding anticipation to a Quakebot
Proceedings of the fifth international conference on Autonomous agents
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
RoboCup Rescue Disaster Simulator Architecture
RoboCup 2000: Robot Soccer World Cup IV
Individual and Collaborative Behaviors in a Team of Robotic Soccer Agents
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
A Generic Formal Plan Recognition Theory
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
An Investigation into the Use of Collaborative Concepts for Planning in Disaster Response Coalitions
DIS '06 Proceedings of the IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications
CBRRoboSoc: An Efficient Planning Strategy for Robotic Soccer Using Case Based Reasoning
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
A Hybrid Tactical Plan Recognition Method Base on Planning System
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
A New Algorithm for Predicting Future Actions in Plan Recognition
CISW '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops
Intelligence Through Interaction: Towards a Unified Theory for Learning
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
A New Passing Strategy Based on Q-Learning Algorithm in RoboCup
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01
Multi-Agent Oriented Tactical Plan Recognition Method with Uncertainty
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 06
Multi-Agent System and Its Application in Combat Simulation
ISCID '08 Proceedings of the 2008 International Symposium on Computational Intelligence and Design - Volume 01
Team Agent Behavior Architecture in Robot Soccer
LARS '08 Proceedings of the 2008 IEEE Latin American Robotic Symposium
An Evolutionary Fuzzy Behaviour Controller Using Genetic Algorithm in RoboCup Soccer Game
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 01
An Approach of Real-Time Team Behavior Control in Games
ICTAI '09 Proceedings of the 2009 21st IEEE International Conference on Tools with Artificial Intelligence
Hybridization of cognitive models using evolutionary strategies
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Multi-Agent Systems: Simulation and Applications
Multi-Agent Systems: Simulation and Applications
A data mining approach to strategy prediction
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Intelligent Planning and Execution of Tasks Using Hybrid Agents
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 01
Self-Organized and Evolvable Cognitive Architecture for Intelligent Agents and Multi-agent Systems
ICCEA '10 Proceedings of the 2010 Second International Conference on Computer Engineering and Applications - Volume 01
Teamwork in Multi-Agent Systems: A Formal Approach
Teamwork in Multi-Agent Systems: A Formal Approach
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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This paper presents a survey of multi-agent systems (MAS) with adversarial teams competing in a dynamic environment. Agents within teams work together against an opposite group of agents in order to fulfill their contrary goals. The article introduces specificity of an environment and indicates fields of cooperation. It emphasizes the role of opponent analysis. Popular planning and learning methods are considered, as well. Next, possible fields of practical application are mentioned. The final part of the paper presents a summary of machine learning methods for specific problem solving and points up future development directions.