Towards a Jason Infrastructure for Soccer Playing Agents? Extended Abstract Dejan Mitrovic 0 Mirjana Ivanovic 0 Hans-Dieter Burkhard 1 Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad , Serbia Humboldt University, Institute of Informatics , Rudower Chaussee 25, D-12489 Berlin , Germany

AgentSpeak and its practical interpreter Jason represent an excellent framework for implementing complex, reasoning agents. This paper discusses an ongoing research dedicated to extending Jason with the support for soccer playing agents. The end goal is to design an efcient infrastructure, capable of deploying and running BDI agents in the RoboCup soccer simulation league.

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Towards a Jason Infrastructure for Soccer Playing Agents is su cient to extend and modify the following set of the interpreter's subcomponents: { Simulated environment : a model of the game that enables the agents to sense their surroundings, and act accordingly. The environment was extended with custom parser and generator components which, respectively, extract agent's belief literals from the simulator's set of percepts, and transform agent actions into concrete e ectors; { Execution control : handles Jason reasoning cycles. Development of a custom execution control was necessary for several reasons, including the support for key-framed motions. Key-framed motions often span across multiple Jason reasoning cycles. The execution control assures that the appropriate sets of commands are sent to the simulator as the motion progresses; { Agent architecture: a link between the simulated environment and the remaining components.

Our custom implementation of these components was evaluated using a concrete implementation of a soccer playing agent [ 4 ]. The results have shown that Jason is perfectly capable of satisfying strict time constraints imposed by the o cial RoboCup simulator. However, further improvements and extensions are needed in order to implement and deploy agents that exhibit more complex behaviour. Our ongoing work is dedicated to designing and re-implementing the remaining parts of the Jason infrastructure [ 1 ]. This step is necessary in order to fully integrate Jason into the RoboCup simulator, allowing Jason agents to actually compete against other teams, and to do so by relying on extensively researched and well-understood concepts and methodologies of the multi-agent technology. In the long run, the plan is to further extend the infrastructure with MOISE+, an advanced Jason-compatible framework for organizational modelling that has already been tested in virtual soccer simulations [ 3 ].

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