Bayles et al. (1993). Using Artificial Intelligence to Support Traffic Flow Management Problem Resolution, Mitre Corporation, MTR93W245. Home/Search Document Not in Database Summary Related Articles Check |
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ISAC: a Case-Based Reasoning System for Aircraft Conflict.. - Bonzano (1998) (Correct)
....in PROLOG for altitude level allocations planning. This is usually the job of one of the two controllers that monitor a sector while the other tries to re route aircraft to improve efficiency. In PLATONS, the negotiation with the pilot is very important and the final decision depends on this. In (Bayles et al. 1993), CBR is used to capture and analyse experiences of Traffic Flow Management (TFM) The goal of TFM is to organise complex air traffic flows through busy areas like airport sectors. ATC becomes relevant when TFM fails and there is a potential conflict. Because ATC is different from TFM, the indices ....
....situation. This happened because in a more general situation too many parameters would have been necessary. The authors agree that CBR has some advantages over RBS, but admit that CBR must be complemented with other systems such as RBS to build successful application, including our application (Bayles et al. 1993). Suggestions on the use of bayesian networks and fuzzy logic for conflict resolution are in (Meckiff, 1994) The steps that compose the model are: definition of the inputs, definition of fuzzification functions for the inputs, definition of the relationships and development of a graphical model ....
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Bayles et al. (1993). Using Artificial Intelligence to Support Traffic Flow Management Problem Resolution, Mitre Corporation, MTR93W245.
Experience, Introspection, and Expertise: Learning to Refine the.. - Leake (Correct)
.... the needed knowledge is a hard problem (Allemang, 1993; Kolodner, 1991; Leake, 1994b) The difficulty in hand coding case adaptation knowledge is so acute that many CBR applications do not even include case adaptation, leaving adaptation to be performed manually by the users of the systems (e.g. Bayles Das (1994), Blevis, Burke, Glasgow, Duncan (1991) Domeshek Kolodner (1992) Hennessey Hinkle (1991) Simoudis Miller (1991) Slator Riesbeck (1991) This makes the systems into expert memories without the capability to apply the contents of those memories themselves. We are addressing the ....
Bayles, S. & Das, B. (1994). Using artificial intelligence to support traffic flow management problem resolution. In Proceedings of the AAAI-94 Workshop on Case-Based Reasoning, pp. 133--137 Seattle, WA. AAAI.
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