Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
We introduce a programming environment entitled Share that is designed to encourage loosely bound cooperation between individuals within communities of practice through the sharin...
This paper proposes the use of reliable group communication as a complement to traditional asynchronous messaging in multi-agent systems. In particular, the mechanism of message p...
Emergence is a concept that is not easy to grasp, since it contradicts our idea of central control and planning. In this work, we use a swarm of robots as a tangible tool to visua...
Abstract. We offer a new understanding of some aspects of practical SAT-solvers that are based on DPLL with unit-clause propagation, clause-learning, and restarts. On the theoreti...
Albert Atserias, Johannes Klaus Fichte, Marc Thurl...