We are designing and developing a mobile clinical decision support system, known as MET (Mobile Emergency Triage), for supporting emergency triage of different types of acute pain...
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
This paper addresses the problem of outdoor terrain modeling for the purposes of mobile robot navigation. We propose an approach in which a robot acquires a set of terrain models ...
This paper provides a logical framework for negotiation between agents that are assumed to be rational, cooperative and truthful. We present a characterisation of the permissible ...
Thomas Andreas Meyer, Norman Y. Foo, Rex Kwok, Don...
Abstract. Personal assistant agents have long promised to automate routine everyday tasks in order to reduce the cognitive load on humans. One such routine task is the management o...
Pragnesh Jay Modi, Manuela M. Veloso, Stephen F. S...
In this paper we report some of the research endeavors we are embarking on as part of the Doctoral research of the first author. We have already completed an investigation of some...
We consider how much influence a center can exert on a game if its only power is to propose contracts to the agents before the original game, and enforce the contracts after the g...
We are creating an environment for investigating the role of advanced AI in interactive, story-based computer games. This environment is based on the Unreal Tournament (UT) game e...
Brian Magerko, John E. Laird, Mazin Assanie, Alex ...
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
This paper describes a new qualitative-quantitative simulator to help buyers learn how to make decisions when they purchase goods. In this paper, we propose an elearning support s...