Artificial Intelligence
Brahms: simulating practice for work systems design
International Journal of Human-Computer Studies
Human performance simulation in the analysis of advanced air traffic management
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Representation and reasoning for goals in BDI agents
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Software Engineering with Agents: Pitfalls and Pratfalls
IEEE Internet Computing
The advantages of abstract control knowledge in expert system design
The advantages of abstract control knowledge in expert system design
Traffic flow management modeling and operational complexity
WSC '04 Proceedings of the 36th conference on Winter simulation
Intelligent agents, simulation, and gaming
Simulation and Gaming
Distributed agent-based air traffic flow management
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Comparing Route Selection Strategies in Collaborative Traffic Flow Management
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
"It's not just goals all the way down" - "it's activities all the way down"
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
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
An agent-based distributed collaborative decision support system
Intelligent Decision Technologies - Various forms of intelligence
| Hi-index | 0.00 |
Belief-Desire-Intention (BDI) is a powerful agent paradigm that allows for the development of so-called intelligent agents - agents that can reason and act based on their beliefs and intentions. However, this power often comes at the cost of increased computational overhead. We describe our experience using a BDI agent framework for developing a simulation of collaborative air traffic flow management and the efficiency problems we encountered. By using BDI more judiciously in our simulation, we were able to address these issues and greatly reduce the execution time of our simulation. From our successes and failures, we derive several guidelines that may enable other researchers to avoid similar efficiency issues in BDI-based simulations.