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By Paolo Remagnino; et al

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In the rest of this paper, we detail the basic functioning mechanisms of the two components. It is important to notice at this point that one key issue in the implementation of this architecture is what we have called in fig. 1 the “event manager”. The role of this component is to arbitrate the service requests of the various agents. As an arbiter, it is the responsibility of the event manager to orchestrate the flow of information to and from the services, performing load balancing tasks and maintaining global system consistency.

But modern artificial intelligence, or more precisely embodied artificial intelligence, may also play an even more crucial role in the creation of ambient intelligence. Again, looking at the characteristics of ambient intelligence, we find that devices should be built into our natural surroundings and we should be able to interact with these devices in a natural way. This suggests that devices must have natural qualities like physicality and sensibility. Embodied artificial intelligence puts emphasis on the physical reality in the creation of intelligence, and suggests that intelligence cannot be abstracted away from the physical body and interaction with the physical, surrounding environment.

Different distributed computing protocols such as CORBA, DCOM and RMI have been adopted to access these services. Although they are very effective for building a specific application, the tight coupling used in these architectures limits the re-usability of individual components. Each of these protocols is constrained by vendor implementation, platform and development languages that severely limit interoperability. Moreover, none of these technologies operate over the Internet with the simple use of the HTTP protocol.

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