Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
There are many studies on ABS and several frameworks for ABS have already been published. However, there are few frameworks that can enable agent-based simulation using large numb...
A prerequisite of joining an enterprise system is the ability to cope with the rigorous demands experienced within such systems. One of the most fundamental of these demands is th...
Performance measurement of large distributed multiagent systems (MAS) offers challenges that must be addressed explicitly in the agent infrastructure. Performance data is widely d...
Aaron Helsinger, Richard Lazarus, William Wright, ...
This paper describes an agent-based approach to realizing interactive pedagogical drama. Characters choose their actions autonomously, while director and cinematographer agents ma...
Stacy Marsella, W. Lewis Johnson, Catherine LaBore