Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

An Approach for Autonomy: A Collaborative Communication Framework for Multi-agent Systems

  • Conference paper
Innovative Concepts for Autonomic and Agent-Based Systems (WRAC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3825))

Included in the following conference series:

Abstract

Research done during the last three years has studied the emersion properties of Complex Adaptive Systems (CAS). The deployment of Artificial Intelligence (AI) techniques applied to remote Unmanned Aerial Vehicles has led the author to investigate applications of CAS within the field of Autonomous Multi-Agent Systems. The core objective of current research efforts is focused on the simplicity of Intelligent Agents (IA) and the modeling of these agents within complex systems. This research effort looks at the communication, interaction, and adaptability of multi-agents as applied to complex systems control. The embodiment concept applied to robotics has application possibilities within multi-agent frameworks. A new framework for agent awareness within a virtual 3D world concept is possible where the vehicle is composed of collaborative agents. This approach is considered for application to the complex tetrahedron structure system from NASA Goddard Space Flight Center (GSFC) developed under the Autonomous Nano Technology Swarm (ANTS) program.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Curtis, S.A., Truszkowski, W.F., Rilee, M.L., Clark, P.E.: Ants for the Human Exploration and Development of Space. In: Paper presented at the IEEE Aeorspace Conference, Big Sky, MT, March 8-15 (2003)

    Google Scholar 

  2. Smith, S.: Open Dynamics Engine. ODE physics simulation software development kit (2004) (assessed), http://www.itee.uq.edu.au/~wyeth/Publications/helicopter.PDF

  3. Chandler, P.R., Pachter, M., Swaroop, D., Fowler, J.A., Howlett, J.K., Rasmussen, S., et al.: Complexity in UAV Cooperative Control. In: Proceedings of the American Control Conference, pp. 1831–1836 (2002)

    Google Scholar 

  4. Asama, H., Yano, M., Tsuchiya, K., Ito, K., Yuasa, H., Ota, J., et al.: System Principle on Emergence of Mobiligence and Engineering Realization. In: Intelligent Robots and Systems, IEEE International Conference (2), October 2003, pp. 1715–1720 (2003)

    Google Scholar 

  5. Chandler, P.R., Pachter, M., Rasmussen, S.: UAV Cooperative Control. In: Proceedings of the American Control Conference, pp. 50–55 (2001)

    Google Scholar 

  6. Wyeth, G., Buskey, G., Roberts, J.: Flight control using an artificial neural network. In: Proceedings of the Australian Conference on Robotics and Automation (ACRA 2000), Melbourne, August 30 - September 1 (2000)

    Google Scholar 

  7. Macdorman, K.F., Tatani, K., Miyazake, Y., Koeda, M.: Proto-symbol emergence. In: Proceedings of the IEEE International Conference on Intelligent Robots and Systems (3), Takamatsu, Japan, November 2000, pp. 1619–1625 (2000)

    Google Scholar 

  8. Dufrene, W.R.: Application of artificial intelligence techniques in uninhabited aerial vehicle flight. In: The 22nd Digital Avionics Systems Conference, 2003. DASC 2003 (2), Indianapolis, IN, USA, October 2003, pp. 8_C_3_1–8_C_3_6 (2003)

    Google Scholar 

  9. Robinson, R.: Better than Human Flight Control Systems, http://gtresearchnews.gatech.edu/reshor/rh-win00/flight.html (Accessed May 10, 2003); Author’s email: rick.robinson@gtri.gatech.edu (2000)

  10. Page, D.: MAV Flight Control: Realities and Challenges. High Technology Careers Magazine (1998)

    Google Scholar 

  11. Holland, J.H.: Hidden order: How adaptation builds complexity. Helix Books and Perseus Books, Boulder (1995)

    Google Scholar 

  12. Holland, J.H.: Emergence: From chaos to order. Perseus Books, Boulder (1998)

    MATH  Google Scholar 

  13. Bar-Yam, Y.: The Dynamics of Complex Systems, pp. 1–110. Perseus Books, Boulder (1997)

    MATH  Google Scholar 

  14. Gell-Mann, M.: The Quark and the Jaguar: Adventures in the Simple and the Complex. W.H. Freeman and Company, New York (1994)

    MATH  Google Scholar 

  15. Waldrop, M.M.: Complexity: the Emerging Science at the Edge of Order and Chaos. Simon & Schuster, New York (1992)

    Google Scholar 

  16. Lewin, R.: Complexity: Life at the Edge of Chaos. The University of Chicago Press, Chicago (1999)

    Google Scholar 

  17. Bone, E., Bolkcom, C.: Unmanned Aerial Vehicles: Background and Issues for Congress (2003) (Accessed September 30, 2003), http://www.fas.org/irp/crs/RL31872.pdf

  18. Glade, D.: Unmanned Aerial Vehicles: Implications for Military Operations (Occasional Paper No. 16, Center for Strategy and Technology, Air War College, pp. 17–19). Air University, Maxwell Air Force Base (2000)

    Google Scholar 

  19. AIAA 1st intelligent systems technical conference (2004) (Retrieved May 19, 2005), http://www.aiaa.org/content.cfm?pageid=230&lumeetingid=1007&viewcon=overview#zz1009

  20. Flake, G.W.: The computational beauty of nature: Computer explorations of fractals, chaos, complex systems, and adaptation. The MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  21. Gleick, J.: Chaos: Making a New Science, pp. 1–32. Penguin Books, New York (1987)

    MATH  Google Scholar 

  22. Cannady, J.: DCIS 790 Complex Adaptive Systems Slides. Class Lecture/Slides, from Nova Southeastern University, Graduate School of Information Sciences Web site (2004), http://scis.nova.edu/~cannady (Lecture given March 5, 2004)

  23. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Intelligence, pp. 9–108. Oxford University Press, Oxford (1999)

    MATH  Google Scholar 

  24. Wolfram, S.: A New Kind of Science. Wolfram Media, Inc., Champaign (2002)

    MATH  Google Scholar 

  25. Sarkar, P.: A brief history of cellular automata. ACM Computing Surveys (CSUR) (32), 80–107 (2000)

    Google Scholar 

  26. Wooldridge, M.: Reasoning about Rational Agents. The MIT Press, Cambridge (2000)

    MATH  Google Scholar 

  27. Buchli, J., Santini, C.C.: Complexity engineering: Harnessing emergent phenomena as opportunities for engineering. In: Reports of the Santa Fe Institute’s Complex Systems Summer School 2005, Santa Fe Institute (2005)

    Google Scholar 

  28. Ijspeert, A.J., Buchli, J., Crespi, A., Righetti, L., Bourquin, Y.: Institute presentation: Biologically inspired robotics group at epfl. International Journal of Advanced Robotics Systems 2(2), 175–199 (2005)

    Google Scholar 

  29. Moeckel, R., Jaquier, C., Drapel, K., Upegui, A., Ijspeert, A.: YaMoR and bluemove – an autonomous modular robot with bluetooth interface for exploring adaptive locomotion. In: Proceedings CLAWAR 2005 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. PhD Candidate, Nova Southeastern University, Ft. Lauderdale, Florida

    Warren R. Dufrene Jr.

Authors
  1. Warren R. Dufrene Jr.
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Loyola College in Maryland, 21210, Baltimore, MD, USA

    Michael G. Hinchey

  2. IBM Autonomic Computing, Raleigh, NC, USA

    Patricia Rago

  3. Advanced Architectures and Automation Branch, NASA Goddard Space Flight Center, 20771, Greenbelt, MD, USA

    James L. Rash

  4. Advanced Technology Laboratories, Lockheed Martin Corporation, 22203, Arlington, VA, USA

    Christopher A. Rouff

  5. School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Northern Ireland

    Roy Sterritt

  6. NASA Goddard Space Flight Center, Code 588, 20771, Greenbelt, MD, USA

    Walt Truszkowski

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dufrene, W.R. (2006). An Approach for Autonomy: A Collaborative Communication Framework for Multi-agent Systems. In: Hinchey, M.G., Rago, P., Rash, J.L., Rouff, C.A., Sterritt, R., Truszkowski, W. (eds) Innovative Concepts for Autonomic and Agent-Based Systems. WRAC 2005. Lecture Notes in Computer Science(), vol 3825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11964995_13

Download citation

  • DOI: https://doi.org/10.1007/11964995_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69265-2

  • Online ISBN: 978-3-540-69266-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation