As virtual characters become more autonomous, their use in interactive drama is growing. By creating interesting and well authored personalities, these characters are able to inte...
We present a logic for reasoning about properties of agent programs under different agent execution strategies. Using the agent programming language SimpleAPL as an example, we sh...
Natasha Alechina, Brian Logan, Mehdi Dastani, John...
Most current crowd simulators animate homogeneous crowds, but include underlying parameters that can be tuned to create variations within the crowd. These parameters, however, are...
Funda Durupinar, Jan M. Allbeck, Nuria Pelechano, ...
Behaviors in soccer-agent domains can involve individual plays, several players involved in tactical plays or the whole team trying to follow strategies supported by specific form...
This research explores productive multi-player games as a platform for human-computer agent collaboration. A multiagent perspective is taken to examine the principles of both game...
The advent of virtual environments such as SecondLife call for a distributed approach for norm emergence and spreading. In open virtual environments, monitoring various interactin...
Bastin Tony Roy Savarimuthu, Maryam Purvis, Martin...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
When human-multiagent teams act in real-time uncertain domains, adjustable autonomy (dynamic transferring of decisions between human and agents) raises three key challenges. First...
Effective teamwork in highly dynamic environments requires a delicate balance between giving agents the autonomy to act and react on their own and restricting that autonomy so tha...
Henry Work, Eric Chown, Tucker Hermans, Jesse Butt...