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Scheduling in Granite Nights. 5pm - Beer. 7pm - Food. 9pm - Movie. http://www.csd.abdn.ac.uk/research/AgentCities/compo/. A Night “Oot in the ‘deen”. Scheduler should decide places to visit and times to visit based on: Specified order constraints Relative location of events
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Scheduling in Granite Nights 5pm - Beer 7pm - Food 9pm - Movie http://www.csd.abdn.ac.uk/research/AgentCities/compo/
A Night “Oot in the ‘deen” • Scheduler should decide places to visit and times to visit based on: • Specified order constraints • Relative location of events • Specified time constraints • Type of event
Scheduling Events • Parse RDF from evening agent and represent events as: data(<name>,<type>,<open>,<close>,<location>). E.G. data(littlejohns,meal,1200,2300,[3,3]) • User tasks represented as finite domains with start/end time E.G. domain([Task1start,Task1end],10,24), domain([Task1length],1,12), Task1start+Task1length #<= Task1end.
Adding Constraints • Add precedence/location constraints to events: E.G. Task1start+Task1length1+Distance1 #=< Task2start. • Match up type information • Check opening/closing times: data(event,type,EventStart,EventEnd,[LocX,LocY]), EventStart #<= task1start, EventEnd #=> task1end. • Scheduler returns n possible schedules as vector in JADE agent
Current/future Work • Current implementation: • Jasper/Sicstus prolog connection • Using Sicstus CLPFD library • To do: • Improve scheduler • Better solutions (more realistic) • More variety in solutions returned • Use specific scheduling routines/Algorithms from Sicstus library