Nothing Special   »   [go: up one dir, main page]

skip to main content
10.5555/1018410.1018846acmconferencesArticle/Chapter ViewAbstractPublication PagesaamasConference Proceedingsconference-collections
Article

Universality in Multi-Agent Systems

Published: 19 July 2004 Publication History

Abstract

Much research in MAS explores how refinements to one agentýs reasoning can improve system performance. Sometimes, aspects of a systemýs behavior are independent of individual agentsý algorithms. Inspired by statistical physics, we term this phenomenon "universality": systems whose elements differ widely may have common emergent features. We develop a notion of universality in MAS based on the conceptýs use in its original (physics) setting. We give examples of the phenomenon, and discuss its implications for the theory and practice of MAS. We speculate that there exists a hierarchy of types of universality. The statistical mechanics sense refers to the most refined, simplest, and quantitative, while commonalities among MAS systems are associated with somewhat more general and qualitative levels of universality. Such a hierarchy would be an important integrating principle across systems of interacting components, including human societies, animal ecologies, multi-agent systems, and atoms and molecules.

References

[1]
{1} W. R. Ashby. Requisite variety and its implications for the control of complex systems. Cybernetica, 1(2):83-99, 1958.
[2]
{2} S. Brueckner and H. V. D. Parunak. Information-Driven Phase Changes in Multi-Agent Coordination. In Proceedings of Autonomous Agents and Multi-Agent Systems (AAMAS 2003), pages 950-951, 2003.
[3]
{3} S. Brueckner and H. V. D. Parunak. Resource-Aware Exploration of Emergent Dynamics of Simulated Systems. In Proceedings of Autonomous Agents and Multi-Agent Systems (AAMAS 2003), pages 781-788, 2003.
[4]
{4} M. J. Feigenbaum. Quantitative Universality for a Class of Non-Linear Transformations. Journal of Statistical Physics, 19:25-52, 1978.
[5]
{5} S. Fitzpatrick and L. Meertens. Soft, Real-Time, Distributed Graph Coloring using Decentralized, Synchronous, Stochastic, Iterative-Repair, Anytime Algorithms: A Framework. KES.U.01.5., Kestrel Institute, Palo Alto, CA, 2001. ftp://ftp.kestrel.edu/pub/papers/fitzpatrick/eMergeANT- 001.pdf.
[6]
{6} T. Hogg, B. A. Huberman, and C. Williams. Phase Transitions and the Search Problem. Artificial Intelligence, 81:1-15, 1996.
[7]
{7} A. Ilachinski. ISAAC/EINSTein: An Artificial-Life Approach to Land Combat. vol. 2001, Center for Naval Analysis, 2001. http://www.cna.org/isaac/.
[8]
{8} M. K. Lauren and R. T. Stephen. Map-Aware Non-uniform Automata (MANA)--A New Zealand Approach to Scenario Modelling. Journal of Battlefield Technology, 5(1 (March)):27ff, 2002.
[9]
{9} K. Lerman and A. Galstyan. A General Methodology for Mathematical Analysis of Multi-Agent Systems. ISI-TR-529, USC Information Sciences Institute, Marina del Rey, CA, 2001. http://www.isi.edu/%7Elerman/papers/isitr529.pdf.
[10]
{10} Y. Li, A. VanDeemen, and R. Savit. The Minority Game with Variable Payoffs. Physica A, 284(2000):461-477, 2000.
[11]
{11} R. Monasson, R. Zecchina, S. Kirkpatrick, B. Selman, and L. Troyansky. Determining computational complexity from characteristic 'phase transitions'. Nature, 400(July 8):133-137, 1999.
[12]
{12} H. V. D. Parunak. The Heartbeat of the Factory. ERIM, Ann Arbor, 1995. http://www.altarum.net/~vparunak/heartbt.pdf.
[13]
{13} H. V. D. Parunak. From Chaos to Commerce: Practical Issues and Research Opportunities in the Nonlinear Dynamics of Decentralized Manufacturing Systems. In Proceedings of Second International Workshop on Intelligent Manufacturing Systems, pages k15-k25, K.U. Leuven, 1999.
[14]
{14} H. V. D. Parunak and S. Brueckner. Entropy and Self-Organization in Multi-Agent Systems. In Proceedings of The Fifth International Conference on Autonomous Agents (Agents 2001), pages 124-130, ACM, 2001.
[15]
{15} H. V. D. Parunak, S. Brueckner, R. Matthews, and J. Sauter. How to Calm Hyperactive Agents. In Proceedings of Autonomous Agents and Multi-Agent Systems (AAMAS 2003), pages 1092-1093, 2003.
[16]
{16} H. V. D. Parunak, S. Brueckner, and J. Sauter. ERIM's Approach to Fine-Grained Agents. In Proceedings of NASA/JPL Workshop on Radical Agent Concepts (WRAC), 2001.
[17]
{17} H. V. D. Parunak, S. Brueckner, J. Sauter, and R. Savit. Effort Profiles in Multi-Agent Resource Allocation. In Proceedings of Autonomous Agents and Multi-Agent Systems (AAMAS02), pages 248-255, 2002.
[18]
{18} H. V. D. Parunak, R. Savit, and R. L. Riolo. Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide. In Proceedings of Multi-agent systems and Agent-based Simulation (MABS'98), pages 10-25, Springer, 1998.
[19]
{19} Principia Cybernetica. Law of Requisite Variety. vol. 2003, Principia Cybernetica Project, 2003. http://pespmc1.vub.ac.be/ASC/LAW_VARIE.html.
[20]
{20} R. Savit, S. A. Brueckner, H. V. D. Parunak, and J. Sauter. Phase Structure of Resource Allocation Games. Physics Letters A, 311:359-364, 2002.
[21]
{21} R. Savit, R. Manuca, and R. Riolo. Adaptive Competition, Market Efficiency, and Phase Transitions. Physical Review Letters, 82(10):2203-2206, 1999.
[22]
{22} T. Takashina and S. Watanabe. The Locality of Information Gathering in Multiagent Systems. In Proceedings of Second International Conference on Multi-Agent Systems (ICMAS-96), pages 461, 1996.
[23]
{23} USMC. Project Albert Home Page. vol. 2003, United States Marine Corps Warfighting Laboratory, 2003. http://www.mcwl.quantico.usmc.mil/divisions/albert/index.as p.
[24]
{24} H. R. Varian. Economic Mechanism Design for Computerized Agents. In Proceedings of USENIX Workshop on Electronic Commerce, 1995.

Cited By

View all
  • (2009)Qualitative modeling of MAS dynamicsProceedings of the 10th international conference on Agent-oriented software engineering10.5555/1965954.1965962(80-93)Online publication date: 11-May-2009
  • (2006)Concurrent modeling of alternative worlds with polyagentsProceedings of the 2006 international conference on Multi-agent-based simulation VII10.5555/1782774.1782789(128-141)Online publication date: 8-May-2006
  • (2006)Hybrid multi-agent systemsProceedings of the 4th international conference on Engineering self-organising systems10.5555/1763581.1763583(1-14)Online publication date: 9-May-2006
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
AAMAS '04: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
July 2004
464 pages
ISBN:1581138644

Sponsors

Publisher

IEEE Computer Society

United States

Publication History

Published: 19 July 2004

Check for updates

Qualifiers

  • Article

Conference

AAMAS04
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 21 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2009)Qualitative modeling of MAS dynamicsProceedings of the 10th international conference on Agent-oriented software engineering10.5555/1965954.1965962(80-93)Online publication date: 11-May-2009
  • (2006)Concurrent modeling of alternative worlds with polyagentsProceedings of the 2006 international conference on Multi-agent-based simulation VII10.5555/1782774.1782789(128-141)Online publication date: 8-May-2006
  • (2006)Hybrid multi-agent systemsProceedings of the 4th international conference on Engineering self-organising systems10.5555/1763581.1763583(1-14)Online publication date: 9-May-2006
  • (2006)A model of emotions for situated agentsProceedings of the fifth international joint conference on Autonomous agents and multiagent systems10.1145/1160633.1160810(993-995)Online publication date: 8-May-2006
  • (2006)Case studies for self-organization in computer scienceJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2006.02.00252:8(443-460)Online publication date: 1-Aug-2006
  • (2005)Mesoscopic modeling of emergent behavior – a self-organizing deliberative minority gameProceedings of the Third international conference on Engineering Self-Organising Systems10.1007/11734697_13(167-181)Online publication date: 25-Jul-2005
  • (2005)Representing dispositions and emotions in simulated combatProceedings of the 2005 international conference on Defence Applications of Multi-Agent Systems10.1007/11683704_5(51-65)Online publication date: 25-Jul-2005
  • (2005)A survey of environments and mechanisms for human-human stigmergyProceedings of the 2nd international conference on Environments for Multi-Agent Systems10.1007/11678809_10(163-186)Online publication date: 25-Jul-2005
  • (2005)Modeling minority games with BDI agents – a case studyProceedings of the Third German conference on Multiagent System Technologies10.1007/11550648_7(71-81)Online publication date: 11-Sep-2005

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media