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...
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
Reports of applications that include agent-based models of human behaviour tend to focus on the applications themselves and the success of the modelling exercise. They give little...
Human team members often develop shared expectations to predict each other’s needs and coordinate their behaviors. In this paper the concept “Shared Belief Map” is proposed ...
A classic autonomous robot is an autonomous agent for open, unpredictable environments. Such an agent is inherently autonomous but not independent. Independence implies unpredictab...