In this paper, adaptive noisy optimization on variants of the noisy sphere model is considered, i.e. optimization in which the same algorithm is able to adapt to several frameworks...
Abstract. Motivated by parallel optimization, we study the SelfAdaptation algorithm for large population sizes. We first show that the current version of this algorithm does not r...
Monte Carlo Tree Search is a recent algorithm that achieves more and more successes in various domains. We propose an improvement of the Monte Carlo part of the algorithm by modify...
Abstract. In this paper, we illustrate the use of evolutionary agents in a multiagent system designed to describe the behavior of car drivers. Each agent has the selfish objective ...
Abstract. Developing directed mutation methods has been an interesting research topic to improve the performance of genetic algorithms (GAs) for function optimization. This paper i...
Throughout its history, AI researchers have alternatively seen their mission as producing computer behavior that is indistinguishable from that of humans or as providing computati...
ct Land use regulations are an important but often underrated legal domain. Especially in densely populated regions such as the Netherlands, spatial plans have a profound impact on...
This paper describes a default-logic framework (plausibility schemas) and software tools (Decision ApprenticeTM and Legal ApprenticeTM ) for modeling, guiding and automating the r...
The development of graphical argument models is an active and growing area of research in Artificial Intelligence and Law. The aim is to develop models which may be readily used ...
Collin Lynch, Kevin D. Ashley, Niels Pinkwart, Vin...
Legal doctrines provide principles, guidelines and rules for dispute resolution in reasoning with cases. To apply legal doctrines, the context of a contract consisting of differe...