We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
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 key problem in applying verification techniques such as model checking to agent architectures is to show how to map systematically from an agent program to a model structure t...
Agent-oriented programming has been motivated in part by the conception that high-level programming constructs based on common tions such as beliefs and goals provide appropriate a...