This paper aims to investigate methodologies to utilize an agent’s intentions as a means to guide the revision of its beliefs. For this purpose, we develop a collection of belie...
Abstract. The purpose of this paper is to investigate how argumentation processes among a group of agents may affect the outcome of group judgments. In particular we will focus on ...
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
In this paper, we develop new methods for the analysis of decentralized control systems and we apply them to formation control problems. The basic set-up consists of a system with...
Distributed systems can often be modeled as a collection of distributed (system) variables whose values are constrained by a set of constraints. In distributed multi-agent systems...
Wiebe van der Hoek, Cees Witteveen, Michael Wooldr...