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Appendix A – Ontology
Agents captured in the agent-based model
AOS: Airline Operations Supervisor
ACo: Aircraft Controller
CCo: Crew Controller
MS: Maintenance Services
AE: Airport Engineer
SS: Station Supervisor
AMS: Aircraft Movement System
CTS: Crew Tracking System
FC: Flight Crew
Domain Ontology – Logical Predicates: Internal states and communication activities of the agents
Observation (A,I): Agent A observes information I from the world
Belief (A, I): Agent A believes that information element I is true in the world
Incoming_communication(A, C, I): Agent A receives message type C with content I
Communicate_from_to(A, B, C, I): Agent A communicates to agent B message type C with content I
Other predicates used in the considered scenario
Disruption(DT,AC,AP): Describes a disruption of type DT, concerning aircraft with registration code AC, at
airport AP
Query(A, B, I): Query by agent A to agent B about Information I
Query_disruption(DT,AC,AP): Query about disruption (DT,AC,AP)
Flight_crew(AC): Flight crew of aircraft with registration code AC
Reserve_aircraft(amount): To denote the number of reserve aircraft available
Aircraft_available_for_swap(amount): Number of aircraft within the same type available for swap
Crew_inbound_aircraft(amount): To denote the number of crew available from inbound flights
Aircraft_problem(AS): Proposed solution to the aircraft problem
Crew_problem(CS): Proposed solution to the crew problem
extend_crew_hours(y/n): Possibility to extend crew hours (yes/no)
Check_disruption(DT,AC,AP): Checking information reliability about a disruption of type DT,
concerning aircraft with registration code AC, at airport AP
Disruption(t/f): Confirmation whether there is a disruption or not by local agents
Conf_call(O,D,A,B,…,N): Conference call organized by agent O about a certain disruption D with
N+1 participants in alphabetical order.
Early_serviceability(AC,DT,AP): Request for earlier serviceability for aircraft AC with problem DT
at airport AP
early_serviceability(AC,DT,AP,y/n): Possibility for earlier serviceability of aircraft AC with problem DT at airport
AP (yes/no)
Start_conf_call(O,D,A,B,…,N): Start of conference call
End_conf_call(O,D,A,B,…,N): End of conference call
Transmit_construal(DT,AC,AP,RT,F): Transmitting construal of the meaning of the signal back to
the sender
Construal(DT,AC,AP,RT,F): Content of a signal being sent
Exit_reporting(DT,AC,AP,RT,F): Signal of exiting a coordination phase (reporting) about a certain
type of disruption with various attributes
Start_aircraft_problem_solving(DT,AC,AP,RT,F): Signal of starting a new coordination phase
(solving crew problem) for a certain type of disruption with various attributes
Renew_compact(AS): Renewing the basic compact about a particular information element.
crew_day_off(AP,y/n): Possibility to use crew with day off at airport AP
Verify_disruption(DT,AC,AP,RT,F): Verifiying a certain disruption with different attributes
integrated_solution(s): Integrated disruption management solution s
vote_for(s, z): Vote result for s (approval or rejection)
S.Bouarfaetal. /AMulti-AgentNegotiationApproach forAirlineOperationControl 387
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Titel
- Intelligent Environments 2019
- Untertitel
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Autoren
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-Cía
- Verlag
- IOS Press BV
- Datum
- 2019
- Sprache
- deutsch
- Lizenz
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Abmessungen
- 16.0 x 24.0 cm
- Seiten
- 416
- Kategorie
- Tagungsbände