Integrating Meeting and Individual Events Scheduling

Automated meeting scheduling is the task of reaching an agreement on a time slot to schedule a new meeting, taking into account the participants’ preferences over various aspects of the problem. Such a negotiation is commonly performed in a non-automated manner, that is, the users decide whet...

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Main Authors: Anastasios Alexiadis, Ioannis Refanidis, Ilias Sakellariou
Format: Article
Language:English
Published: Asociación Española para la Inteligencia Artificial 2018-09-01
Series:Inteligencia Artificial
Subjects:
Online Access:https://journal.iberamia.org/index.php/intartif/article/view/219
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spelling doaj-c1b2cc9826664eca9a8e8dbae3404e922021-02-19T16:39:23ZengAsociación Española para la Inteligencia ArtificialInteligencia Artificial1137-36011988-30642018-09-01216210.4114/intartif.vol21iss62pp53-66219Integrating Meeting and Individual Events SchedulingAnastasios Alexiadis0Ioannis Refanidis1Ilias SakellariouDepartment of Applied Informatics, University of MacedoniaDepartment of Applied Informatics, University of Macedonia Automated meeting scheduling is the task of reaching an agreement on a time slot to schedule a new meeting, taking into account the participants’ preferences over various aspects of the problem. Such a negotiation is commonly performed in a non-automated manner, that is, the users decide whether they can reschedule existing individual activities and, in some cases, already scheduled meetings in order to accommodate the new meeting request in a particular time slot, by inspecting their schedules. In this work, we take advantage of SelfPlanner, an automated system that employs greedy stochastic optimization algorithms to schedule individual activities under a rich model of preferences and constraints, and we extend that work to accommodate meetings. For each new meeting request, participants decide whether they can accommodate the meeting in a particular time slot by employing SelfPlanner’s underlying algorithms to automatically reschedule existing individual activities. Time slots are prioritized in terms of the number of users that need to reschedule existing activities. An agreement is reached as soon as all agents can schedule the meeting at a particular time slot, without anyone of them experiencing an overall utility loss, that is, taking into account also the utility gain from the meeting. This dynamic multi-agent meeting scheduling approach has been tested on a variety of test problems with very promising results. https://journal.iberamia.org/index.php/intartif/article/view/219Scheduling, Optimization, constraint satisfaction, Meeting scheduling, Multi-Agents.
collection DOAJ
language English
format Article
sources DOAJ
author Anastasios Alexiadis
Ioannis Refanidis
Ilias Sakellariou
spellingShingle Anastasios Alexiadis
Ioannis Refanidis
Ilias Sakellariou
Integrating Meeting and Individual Events Scheduling
Inteligencia Artificial
Scheduling, Optimization, constraint satisfaction, Meeting scheduling, Multi-Agents.
author_facet Anastasios Alexiadis
Ioannis Refanidis
Ilias Sakellariou
author_sort Anastasios Alexiadis
title Integrating Meeting and Individual Events Scheduling
title_short Integrating Meeting and Individual Events Scheduling
title_full Integrating Meeting and Individual Events Scheduling
title_fullStr Integrating Meeting and Individual Events Scheduling
title_full_unstemmed Integrating Meeting and Individual Events Scheduling
title_sort integrating meeting and individual events scheduling
publisher Asociación Española para la Inteligencia Artificial
series Inteligencia Artificial
issn 1137-3601
1988-3064
publishDate 2018-09-01
description Automated meeting scheduling is the task of reaching an agreement on a time slot to schedule a new meeting, taking into account the participants’ preferences over various aspects of the problem. Such a negotiation is commonly performed in a non-automated manner, that is, the users decide whether they can reschedule existing individual activities and, in some cases, already scheduled meetings in order to accommodate the new meeting request in a particular time slot, by inspecting their schedules. In this work, we take advantage of SelfPlanner, an automated system that employs greedy stochastic optimization algorithms to schedule individual activities under a rich model of preferences and constraints, and we extend that work to accommodate meetings. For each new meeting request, participants decide whether they can accommodate the meeting in a particular time slot by employing SelfPlanner’s underlying algorithms to automatically reschedule existing individual activities. Time slots are prioritized in terms of the number of users that need to reschedule existing activities. An agreement is reached as soon as all agents can schedule the meeting at a particular time slot, without anyone of them experiencing an overall utility loss, that is, taking into account also the utility gain from the meeting. This dynamic multi-agent meeting scheduling approach has been tested on a variety of test problems with very promising results.
topic Scheduling, Optimization, constraint satisfaction, Meeting scheduling, Multi-Agents.
url https://journal.iberamia.org/index.php/intartif/article/view/219
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