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Article

Dynamic reorganization of decision-making groups

Published: 28 May 2001 Publication History

Abstract

Agents in a multi- agent system must coordinate to achieve their goals, in general. Establishing an organizational structure that specifies how agents in the system should work together helps multi- agent systems achieve effective coordination. Among other things, an organizational structure specifies agent decisionmaking frameworks. A decision- making framework identifies the locus of decision- making control for a given goal and the authority of decision- makers to assign subtasks in order to achieve that goal. Agents may participate in different decision- making frameworks for each goal they pursue. Agents who implement the capability of Adaptive Decision- Making Frameworks (ADMF) are able to dynamically modify their decision- making frameworks at run- time to best meet the needs of their current situation. Through ADMF, agents are able to reorganize decision- making groups by dynamically changing (1) who makes the decisions for a particular goal and (2) who must carry out these decisions. This paper presents experiments exploring the following hypothesis: Multi- agent systems that implement ADMF can perform better and more robustly across run- time changes in situation than systems that maintain static decision- making frameworks. Experimental results show that no one decision- making framework performs best across various situations that may be faced at run- time. Further experiments show that the implementation of ADMF in multi- agent systems can improve system performance across changing situations. These experimental results clearly motivate the implementation of Adaptive Decision- Making Frameworks in multi- agent systems.

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Published In

cover image ACM Conferences
AGENTS '01: Proceedings of the fifth international conference on Autonomous agents
May 2001
662 pages
ISBN:158113326X
DOI:10.1145/375735
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 May 2001

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AGENTS01: Autonomous Agents 2001
Quebec, Montreal, Canada

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AGENTS '01 Paper Acceptance Rate 66 of 248 submissions, 27%;
Overall Acceptance Rate 182 of 599 submissions, 30%

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Cited By

View all
  • (2015)Value-Sensitive Design of Self-OrganisationProceedings of the 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems10.1109/SASO.2015.25(156-161)Online publication date: 21-Sep-2015
  • (2014)A QoS-Aware, Trust-Based Aggregation Model for Grid FederationsOn the Move to Meaningful Internet Systems: OTM 2014 Conferences10.1007/978-3-662-45563-0_16(277-294)Online publication date: 2014
  • (2013)Distribution of Roles in Virtual Organization of AgentsThe 8th International Conference on Knowledge Management in Organizations10.1007/978-94-007-7287-8_39(485-497)Online publication date: 6-Sep-2013
  • (2013)Assessing Organisational DesignSimulating Social Complexity10.1007/978-3-540-93813-2_20(541-562)Online publication date: 18-Feb-2013
  • (2012)Engineering Organised AdaptationProceedings of the 2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems10.1109/SASO.2012.37(239-248)Online publication date: 10-Sep-2012
  • (2011)Oversight of reorganization in massive multiagent systemsMultiagent and Grid Systems10.3233/MGS-2011-01777:6(269-289)Online publication date: 1-Nov-2011
  • (2010)Reorganization in massive multiagent systemsProceedings of the International Multiconference on Computer Science and Information Technology10.1109/IMCSIT.2010.5680030(189-195)Online publication date: Oct-2010
  • (2010)Design and Analysis of Organization Adaptation in Agent SystemsAgent‐Directed Simulation and Systems Engineering10.1002/9783527627783.ch9(237-267)Online publication date: 12-Feb-2010
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  • (2007)Organizational self-design in semi-dynamic environmentsProceedings of the 6th international joint conference on Autonomous agents and multiagent systems10.1145/1329125.1329370(1-8)Online publication date: 14-May-2007
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