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dc.contributor.authorRefanidis, Ioannis-
dc.contributor.authorYorke-Smith, Neil-
dc.date.accessioned2019-11-29T09:37:32Z-
dc.date.available2019-11-29T09:37:32Z-
dc.date.issued2010-11-
dc.identifier10.1145/1869397.1869401en_US
dc.identifier.issn2157-6904en_US
dc.identifier.urihttps://doi.org/10.1145/1869397.1869401en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/498-
dc.description.abstractThe goal of helping to automate the management of an individual's time is ambitious in terms both of knowledge engineering and of the quality of the plans produced by an AI system. Modeling an individual's activities is itself a challenge, due to the variety of activity, constraint, and preference types involved. Activities might be simple or interruptible; they might have fixed or variable durations, constraints over their temporal domains, and binary constraints between them. Activities might require the individual being at specific locations in order, whereas traveling time should be taken into account. Some activities might require exclusivity, whereas others can be overlapped with compatible concurrent activities. Finally, while scheduled activities generate utility for the individual, extra utility might result from the way activities are scheduled in time, individually and in conjunction. This article presents a rigorous, expressive model to represent an individual's activities, that is, activities whose scheduling is not contingent on any other person. Joint activities such as meetings are outside our remit; it is expected that these are arranged manually or through negotiation mechanisms and they are considered as fixed busy times in the individual's calendar. The model, formulated as a constraint optimization problem, is general enough to accommodate a variety of situations. We present a scheduler that operates on this rich model, based on the general squeaky wheel optimization framework and enhanced with domain-dependent heuristics and forward checking. Our empirical evaluation demonstrates both the efficiency and the effectiveness of the selected approach. Part of the work described has been implemented in the SelfPlanner system, a Web-based intelligent calendar application that utilizes Google Calendar.en_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.sourceACM Transactions on Intelligent Systems and Technologyen_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subject.otherGreedy algorithmsen_US
dc.subject.otherconstraintsen_US
dc.subject.otherintelligent calendar applicationsen_US
dc.subject.otheractivity modelingen_US
dc.subject.otherpreferencesen_US
dc.titleA constraint-based approach to scheduling an individual's activitiesen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume1en_US
local.identifier.issue2en_US
local.identifier.firstpage1en_US
local.identifier.lastpage32en_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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