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talking to each other In this case, the room might infer that there is a meeting and start to react according to the meeting scenario, for instance, switching on the plasma screen, displaying one of the attendee s slides [5] The main requirements of the CORTEX Smart Room application are sentience, autonomy, cooperation and distribution The sentient room consists of a number of sensors and actuators, which are actually abstract wrapper objects around driver software for particular hardware devices Sensors collect data about the environment, while actuators attempt to change the state of the real world in some pre-de ned way A wrapper object around the air-conditioner is an actuator example, which processes CORTEX related software events and changes the room temperature through this conventional room device.

But the image of risk-taking as single, one-off, decisions is very unrepresentative, distorting and inaccurate Invariably risk-taking is an active process One decision does, and should, lead to another A sequence of decisions is taken towards what were, initially, immediate, then short-term, then medium-term and nally long-term, goals The legal system, when it comes to analyse, as it invariably does, one particular decision amongst a series, misrepresents reality Here is another area where lawyers and psychologists could productively collaborate Lawyers are employed to protect and promote the interests of their clients Thus, for example, they act when there is a risk that their client will be con ned or released But can and should they only protect their client s interests at those times We, it is submitted, arti cially in ate the importance of some of those occasions for legal.

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Furthermore, every sentient object has its own internal control logic and is able to make autonomous decisions by itself, thus requiring some degree of autonomy The sentient objects should be capable of cooperating with other sentient objects in order to ful ll their task Distribution scale is another important issue, because the sentient room application should accommodate a reasonable number of sensors and actuators Habitat Monitoring on Great Duck Island (2002): the Intel Research Laboratory at Berkeley initiated a collaboration with the College of the Atlantic in Bar Harbor and the University of California at Berkeley to deploy wireless sensor networks on Great Duck Island, Maine, in 2002 The task of the network is to monitor the microclimates in and around nesting burrows used by the Leach s Storm Petrel.

Dean, M., Connolly, D., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, L., Patel-Schneider, P., and Stein, L. OWL Web Ontology Language 1.0, July 2002. www.w3.org/TR/owl-ref/. De Bono, E. Lateral Thinking: Creativity Step by Step, Harper Paperbacks, New York, 1973. De Borchgrave, A. Commentary: Living Forever, United Press International article, Washington, December 29, 2005. http://www.upi.com/HealthBusiness/view. php StoryID=20051229-090610-4704r.

The objective of the project is to develop a habitat monitoring kit that enables researchers worldwide to participate in the non-intrusive and non-disruptive monitoring of sensitive wildlife and habitats For this project, temperature, humidity, barometric pressure and mid-range infrared sensors are used Motes periodically sample and relay their sensor readings to computer base stations on the island This information is fed into a satellite link in order to allow researchers to access real-time environmental data over the Internet Firstly, 32 motes were deployed on the island and, at the end of the eld season in November 2002, over 1 million readings had been logged from those sensors In June 2003, a second generation network with 56 nodes were deployed The network was extended in July 2003 with 49 additional nodes and again in August 2003 with over 60 more burrow nodes and 25 new weather station nodes.

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53 USING SLICE SAMPLING WITH FLOWGRAPHS In this section we demonstrate the use of slice sampling to compute the integral of (57) for owgraph models The rst example concerns estimating the time to incubation for HIV/AIDS data and is a convolution of an exponential and a gamma distribution Although the data are medical, the problem is also relevant for those interested in engineering applications For example, the hydraulic pump system of Example 22 is a series model that could be analyzed in this manner with general waiting time distributions The second example is a reanalysis of Example 54 using slice sampling This is a more challenging example The third example presents slice sampling results for the reversible illness death owgraph model of Figure 222 Although presented in an engineering context, both of these examples are also relevant for medical applications Example 5.

These nodes form a multi-hop network transferring their data back bucket brigade style through dense forest Some nodes are put more than 1,000 feet deep in the forest, providing data through a low power wireless transceiver [47] BioWatch (2002): in recent years, bioterrorism has become a signi cant threat for humanity The developments in micro and nanotechnology have brought about the idea of early detection and response to a bioterrorism event with wireless sensor networks The BioWatch project has been developed by the US Department of Homeland Security for this purpose It is an early warning system rapidly detecting biological materials in the air, possibly stemming from.

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