Tasks with cost growing over time and agent reallocation delays

James Parker, Maria Gini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

To efficiently complete tasks whose completion costs change predictably over time requires agents that can take into account these changes. When there are more agents than tasks the problem is how to coordinate the allocation of agents to prevent tasks from growing so much that they become unsolvable. This work focuses on a subset of cost functions for modeling tasks whose cost grows over time and provides an optimal solution when agents can be allocated to tasks instantly. We present both the Latest Finishing First (LFF) algorithm, which is suitable when the cost of reallocating agents is high, and the Real-Time Latest Finishing First (RT-LFF) algorithm, which adapts to agent reallocation delays and new tasks appearing. These algorithms are compared against the optimal zero travel time solution with varying delays in reallocation in a simple environment. We then show how to apply this model to the complex problem of allocating agents to extinguish fires in the RoboCup Rescue simulator and show how RT-LFF solves the problem efficiently.

Original languageEnglish (US)
Title of host publication13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages381-388
Number of pages8
ISBN (Electronic)9781634391313
StatePublished - 2014
Event13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France
Duration: May 5 2014May 9 2014

Publication series

Name13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Volume1

Other

Other13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Country/TerritoryFrance
CityParis
Period5/5/145/9/14

Bibliographical note

Publisher Copyright:
Copyright © 2014, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

Keywords

  • Coordination
  • Multi-robot systems
  • Task allocation

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