Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Abstract. Software agent technology has attracted much attention for developing various distributed systems, composed of autonomous agents interacting with one another using partic...
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
In this paper, we propose a flexible dialogue mechanism through which a set of agents can establish a coherent set of public beliefs. Flexibility and coherence are achieved by dec...
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...