Classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.2.1 The Class Coord . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.2.2 The Abstract Class Handler . . . . . . . . . . . . . . . . . . . . . . . . . . 165.2.3 The Abstract Class Brain . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.3 Classes of the Braitenberg-Vehicle Scenario . . . . . . . . . . . . . . . . . . . . . . 175.4 Classes of the Ant-Colony Scenario . . . . . . . . ...

In this paper XRaptor is introduced, an object-oriented simulation tool. It provides a virtual multi-agent world which acts as testbed for agent control mechanisms. This environment encompasses a 3-dimensional space, in which the agents may move. Currently agents are realized modelling some abstract properties of flies and bats. XRaptor provides different levels of information flow and world manipulation capabilities from the agents' point of view. A further purpose of XRaptor is educational: Different teams of developers may design control units for agents which can then be subjected to a tournament.