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In this paper we propose a visual language CFSL for specifying control flow semantics of programming languages. We also present a translation from CFSL to graph production systems (GPS) for flow graph construction; that is, any CFSL specification, say for a language L, gives rise to a GPS that constructs from any L-program (represented as an abstract syntax(More)
  • Remco Bonse, Ward Kockelkorn, Ruben Smelik, Pim Veelders, Wilco Moerman
  • 2006
This paper shows the results of applying Reinforcement Learning () to train combat movement behaviour for a Q  A [3] bot. Combat movement of a Q  bot is the part that steers the bot while in battle with an enemy bot or human player. The aim of this research is to train a bot to perform better than the standard Q  bot it is based(More)
In this paper we present the results of our implementation and evaluation of a lane detection algorithm proposed by Wang et al. [4]. This snake-based detection method features a sophisticated initialization algorithm, called , to provide the lane detection snake with an initial position. The snake itself is based on a B-Spline and deforms according to(More)
Motivated by many potential applications within the domain of Defense, Safety & Security, we present an approach for the injection of incidents (e.g., an arrest following a shoplifting) in a running, large-scale urban simulation. Incidents are generated within desired user constraints such as what should happen, where, and when. We believe that this(More)
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