A Blackboard System for Interpreting Agent Messages

Marc Cavazza, Steven J. Mead, Alexander I. Strachan, and Alex Whittaker

We describe a prototype blackboard system for coordinating multiple agents in a real-time strategy game. Agents have limited cognitive abilities and communicate with the blackboard through structured messages. Agents sense their local environment at regular intervals and send perceptual information to the blackboard working space in the form of structured messages. The blackboard system performs high-level interpretation of these low-level percepts to generate high-level tactical and strategic information. In this paper, we describe the design of the various components of the blackboard. The system has been fully implemented and experiments have been performed with data from the Dropship TM game.

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