Modelling MECA scenarios using Brahms and KAoS

In this report we present a simulation of a MECA scenario, powered by Brahms and KAoS. To achieve this, the KAoS/Brahms bridge is developed, which allows agents in a Brahms multi-agent system to query KAoS policies. With the KAoS/Brahms bridge at hand, the MECA project is used as context for a scenario modelled in Brahms. The scenario is scripted to contain various situations in which Brahms’ work practice approach interacts with KAoS’ topdown specification of rules. The outcome of these interactions directly influences the outcome of the scenario as a whole. By including an actual human being in the simulation, the scenario can also be used to assess man-machine interaction between this human subject and the other agents. The human subject can assume the role of one of the actors, while the other actors remain simulated. By using a graphical user interface, the human is able to influence the simulation.MMIElectrical Engineering, Mathematics and Computer Scienc

Unreal Goal Bots

It remains a challenge with current state of the art technology to use BDI agents to control real-time, dynamic and complex environments. We report on our effort to connect the GOAL agent programming language to the real-time game UNREAL TOURNAMENT 2004. We focus in particular on the design of a suitable interface to manage agent-bot interaction and argue that the use of a recent toolkit for developing an agent-environment interface provides many advantages.Intelligent SystemsElectrical Engineering, Mathematics and Computer Scienc