Artificial Intelligence for interactive characters is held back by the difficulty of actually creating those characters. There is a need for intuitive tools which simplify the pro...
Frederick William Poe Heckel, G. Michael Youngbloo...
We demonstrate an approach to modelling the effects of certain parameters of platform game levels on the players' experience of the game. A version of Super Mario Bros has be...
Chris Pedersen, Julian Togelius, Georgios N. Yanna...
This paper presents a method to take advantage of artificial evolution in positron emission tomography reconstruction. This imaging technique produces datasets that correspond to t...
Franck Patrick Vidal, Delphine Lazaro-Ponthus, Sam...
This paper reports on a feasibility study into the evolution of robot controllers during the actual operation of robots (on-line), using only the computational resources within the...
Abstract. This paper presents a new Memetic Algorithm (MA) designed to compute near-optimal solutions for the covering array construction problem. It incorporates several distingui...
Research in Distributed Artificial Intelligence is concerned with how automated agents can be designed to interact effectively. One important capability that could aid inter-agent...
We have for several years been working on an approach to knowledge system building that argues for the existence of a close connection between the tasks which the knowledge system ...
AI planning research is now maturing and nding practical application in the commercial, industrial, engineering and defence sectors. This has led to a rapid expansion in the last ...
We describe an application of the BOXES learning algorithm of Michie and Chambers (1968) to a large-scale, real-world problem, namely, learning to control a steel mill. By applyin...
Michael McGarity, Claude Sammut, David P. Clements