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Jadex Rules is a small lightweight rule engine, which currently employs the well-known Rete algorithm for highly efficient rule matching. Jadex rules is therefore similar to other rule engines like JESS and Drools. Despite the similarities there are also important differences between these systems: * Jadex Rules is very small and intended to be used as component of other software. Even though rules can be specified in a Java dialect as well as (a small variation of) the CLIPS language its primary usage is on the API level. Jadex Rules is currently the core component of the Jadex BDI reasoning engine. * Jadex Rules cleanly separates between state and rule representation. This allows the state implementation as well as the matcher to be flexibly exchanged. Some experiments have e.g. been conducted with a Jena representation. Regarding the matcher, it is planned to support also the Treat algorithm, which has a lower memory footprint than Rete. * Jadex Rules pays close attention to rule debugging. The state as well as the rete engine can be observed at runtime. The rule debugger provides functionalities to execute a rule program stepwise and also use rule breakpoints to stop the execution at those points.

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package jadex.rules.rulesystem.rete.nodes;


import java.util.Collection;


/**
 *  A node that is a source of tuples. An arbitrary number
 *  of object consumer nodes can be attached to a tuple source. 
 */
public interface ITupleSourceNode extends INode
{
	/**
	 *  Add an tuple consumer node.
	 *  @param node A new consumer node.
	 */
	public void addTupleConsumer(ITupleConsumerNode node);
	
	/**
	 *  Remove an tuple consumer.
	 *  @param node The consumer node.
	 */
	public void removeTupleConsumer(ITupleConsumerNode node);
	
	/**
	 *  Get the memory for this node.
	 *  @return The memory.
	 */
	public Collection getNodeMemory(ReteMemory mem);

	/**
	 *  Get all tuple consumer nodes.
	 *  @return All tuple consumer nodes.
	 */
	public ITupleConsumerNode[] getTupleConsumers();
}