By Douai A.

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The location of other tourists). However, in our opinion, a key problem is that agents are left alone in discovering relevant contextual information, in evaluating and possibly negotiating a meeting room, and in navigating across the museum (rows 12-14). This can lead to noticeable computational and communication burden. It is fair to say that models like MARS [22] and TuCSoN [121], by relying on programmable tuple spaces, are better suited for dealing with coordination. In fact, agents can program the middleware so that it can perform low-level coordination tasks on the agents’ behalf.

A group of museum guards that wants to monitor in a coordinated way different areas of the museum) properly reflect the current conditions of the system and of the other agents in it. 3 Inadequacy of Current Approaches in Supporting Coordination 31 In the rest of this chapter, we will refer to the above case study to evaluate the inadequacy of current coordination models and middleware to face the complexities of modern scenarios. Moreover, from time to time in the book, we will again revert to this case study to ground the discussion.

The above two points, interaction mechanisms and context-awareness, are indeed strictly intertwined, in that contextual information can be communicated only by the available interaction mechanisms. With this regard, it is worth anticipating that on the one hand, indirect interaction mechanisms appear much more suited for coordinating activities in open and dynamic scenarios, in which agents can appear and disappear at any time. In fact, these models uncouple the interacting entities and free them from the need for directly knowing each other to interact.

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