To perform large-scale coordination in real-world environments requires that many individually complex technologies come together to form integrated solutions. In this paper, we p...
Sean Owens, Paul Scerri, Robin Glinton, Bin Yu, Ka...
The paper presents an agent-oriented programming language SLABSp. It provides caste and scenario mechanisms in a coherent way to support the caste-centric methodology of agent-ori...
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
: This paper describes a new approach for the creation of an adaptive system able to selectively combine dynamic multidimensional information sources to perform state estimation. T...
This paper presents a multi-agent oriented method for solving CSPs (Constraint Satisfaction Problems). In this method, distributed agents represent variables and a two-dimensional...