To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
Multiagent systems may be elegantly modeled and designed by enhancing the role of the environment in which agents evolve. In particular, the environment may have the role of a gove...
The goal of this work is to design and implement an agent-based system that facilitates interaction among a group of individuals who are part of an organization, observe types and...
This paper introduces a multi-agent system (MAS) approach for modelling social behaviours in children’s play. The children, the dynamics of their play, and the playground are mo...
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...