Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
Artificial Intelligence - Special volume on constraint-based reasoning
Collaborative plans for complex group action
Artificial Intelligence
Towards Flexible Teamwork in Persistent Teams: Extended Report
Autonomous Agents and Multi-Agent Systems
Building Dynamic Agent Organizations in Cyberspace
IEEE Internet Computing
Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
The Complexity of Decentralized Control of Markov Decision Processes
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation
CP '01 Proceedings of the 7th International Conference on Principles and Practice of Constraint Programming
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans
Autonomous Agents and Multi-Agent Systems
Distributed Constraint Satisfaction Algorithm for Complex Local Problems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Coalition formation in proportionally fair divisible auctions
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A prototype infrastructure for distributed robot-agent-person teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Distributed Sensor Networks: A Multiagent Perspective
Distributed Sensor Networks: A Multiagent Perspective
Towards a Formalization of Teamwork with Resource Constraints
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Allocating tasks in extreme teams
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Exploiting belief bounds: practical POMDPs for personal assistant agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Preprocessing techniques for accelerating the DCOP algorithm ADOPT
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Comparing two approaches to dynamic, distributed constraint satisfaction
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
How local is that optimum? k-optimality for DCOP
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Demonstration of DEFACTO: training tool for incident commanders
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Adopt: asynchronous distributed constraint optimization with quality guarantees
Artificial Intelligence - Special issue: Distributed constraint satisfaction
Networked distributed POMDPs: a synthesis of distributed constraint optimization and POMDPs
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Robust agent teams via socially-attentive monitoring
Journal of Artificial Intelligence Research
Hybrid BDI-POMDP framework for multiagent teaming
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
Towards adjustable autonomy for the real world
Journal of Artificial Intelligence Research
Taming decentralized POMDPs: towards efficient policy computation for multiagent settings
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
CAST: collaborative agents for simulating teamwork
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Dynamics based control with an application to area-sweeping problems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIES
Applied Artificial Intelligence
A hybrid approach to multi-agent decision-making
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Meta-agency and individual power
Web Intelligence and Agent Systems
Incorporating BDI Agents into Human-Agent Decision Making Research
ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
Honey bee teamwork architecture in multi-agent systems
CSCWD'06 Proceedings of the 10th international conference on Computer supported cooperative work in design III
Programming modular robots with the TOTA middleware
ESOA'06 Proceedings of the 4th international conference on Engineering self-organising systems
Modeling high assurance agent-based Earthquake Management System using formal techniques
The Journal of Supercomputing
Diagnosis of coordination failures: a matrix-based approach
Autonomous Agents and Multi-Agent Systems
Agent-based simulation of cooperative defence against botnets
Concurrency and Computation: Practice & Experience
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Today within the AAMAS community, we see at least four competing approaches to building multiagent systems: belief-desire-intention (BDI), distributed constraint optimization (DCOP), distributed POMDPs, and auctions or game-theoretic approaches. While there is exciting progress within each approach, there is a lack of cross-cutting research. This paper highlights hybrid approaches for multiagent teamwork. In particular, for the past decade, the TEAMCORE research group has focused on building agent teams in complex, dynamic domains. While our early work was inspired by BDI, we will present an overview of recent research that uses DCOPs and distributed POMDPs in building agent teams. While DCOP and distributed POMDP algorithms provide promising results, hybrid approaches help us address problems of scalability and expressiveness. For example, in the BDI-POMDP hybrid approach, BDI team plans are exploited to improve POMDP tractability, and POMDPs improve BDI team plan performance. We present some recent results from applying this approach in a Disaster Rescue simulation domain being developed with help from the Los Angeles Fire Department.