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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)
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)
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)
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