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for a user but insuf cient for the <Information-landscape/>. The physical location must be augmented from the AACR s and user s viewpoints. Expression 8-20 Gamla Stan SKO (Simpli ed) <SKO> <Name> Gamla Stan </Name> <De nitions> <Physical-space><Physical-universe><Locale> GamlaStan </Locale> <Metropolitan> <Stockholm> <Metropolitan/> <Region><Europe/> </Region> <Global> <Earth/> <Global/> </Physical-universe> </Physical-space> </De nitions> </SKO> The Gamla Stan section of Stockholm is part of Europe, which is a part of the globe in the physical model of the world. The tag <Physical-space> constrains Gamla Stan to be located in 3-space (i.e., it is not an abstraction like Santa Clause, which is real to the <Self/> as an abstraction of giving). The AACR encountering Gamla Stan for the rst time may access as a priori SKO with landmarks, street names, the authority of the information, constraints on spatial relationships, and other characteristics that help relate its experience to features of the location. This section identi es the important constraints to the information landscape that must be known in order to enable well-grounded aggregation of experience for use of that landscape. 8.7.3.1 Constraining the Source The source of the knowledge about Gamla Stan is not explicit in Expression 8-20, but in order for an AACR to reason about con icting information, it must associate a source with each KO. For example, the AACR might learn that there are no public WLAN access points from the following source: <Source> <Place> Fairfax, VA </Place> <Time> 199905121605 </Time> <Author> J. Mitola III <Author/> </Source> Some might trust this source, while others might want a more current, more authoritative source. If another source says that there are indeed public WLAN access points on Gamla Stan, dated 200501041610, then which would you trust Suppose another source later says that there are none because the network is down. Yet another source said ve minutes ago that the WLANs are all up. Now which one do you trust Reasoning over such con icts requires the codi cation of the idea that the most recent relevant experience is the one to be most trusted. This idea isn t hard to implement computationally, so there is a SDH, advising that the most recent status report be believed:
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<SDH> <Name> <RF <Network <Status/>/>/> </Name> <Rule> <Condition> <Status> S1 <Time> X </Time> <Place> L </Place> </Status> & <Status> S2 <Time> Y </Time> <Place> L </Place> </Status> & Y>X </Condition> <Action> <Believe> <Status> S2 </Status> </Believe> </Action> If location L is Gamla Stan, then the heuristic guides the radio to believe S2 (e.g. WLAN is up) in Gamla Stan. If later AACRs report the WLAN to be down, then the <Self/> believes the new status. 8.7.3.2 Collaboratively Exploiting Spatial Knowledge Of course, GPS receivers enable the rote services of displaying the location to the user and plotting the position on a map. An AACR autonomously uses location, for example, to check its equalizer with a rule such as the following PROLOG rule from Kokar s ontology-based radio (OBR) [88]:
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checkPerformance(X) :-equalizerError(E), pv(obr8upperPerformanceThreshold, object8MonitorServiceDispatch, UPt), pv(obr8lowerPerformanceThreshold, object8MonitorServiceDispatch, LPt), compare( > E, LPt), , compare( < E, UPt), assign( Continue , X). ,
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This PROLOG rule advises the OBR that if its equalizer error E is out of bounds, it should do something about it. Since this rule may re at any time, the reaction of negotiating equalizer training sequences with the host wireless network may be initiated at any place or time. In Kokar s scheme, the OBR may try to x the performance problem by switching to its most computationally expensive and best performing equalizer, but if that fails, it tries to negotiate a longer training sequence with the host network. Suppose the host wireless network knows how to embed a longer training sequence in a GSM burst but has not recently been asked to do this. It could take minutes before the enhanced sequence mode is available, rendering the strategy ineffective. Even if the network has such a mode ready to initiate when asked, a few frames of delay may render the call disconnected, defeating the strategy. Now suppose that the OBR also has spatial knowledge. When it queries the CWN for directions from the Royal Viking to dinner in Gamla Stan, it detects a bridge crossing plus water as Rayleigh fade problems across the water [170]. It may nd that other AACRs experience dropped calls unless they use the extended training sequence via SKOs that re ect this experience. If the AACR installs the extended training sequence at the Royal Viking, then it wastes bandwidth and power for no bene t. Space time planning over the SKOs can infer this implication of changing to the extended
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