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...
In this paper we develop a notion of “objective trust” for Software Agents, that is trust of, or between, Agents based on actual experiences between those Agents. Experiential ...
This paper presents a programmable logic-based agent control system that interleaves planning, plan execution and perception. In this system, a program is a collection of logical f...
This paper describes and evaluates three methods for coordinating multiple agents. These agents interact in two ways. First, they are able to work together to achieve a common poo...
Steve A. Chien, Anthony Barrett, Tara A. Estlin, G...
A critical challenge to creating effective open multi-agent systems is allowing them to operate effectively in the face of potential failures. In this paper we present an experimen...