A GENERIC COGNITIVE SYSTEM ARCHITECTURE APPLIED TO THE UAV FLIGHT GUIDANCE DOMAIN

Stefan Brüggenwirth, Ruben Strenzke, Alexander Alexander, Axel Schulte

2010

Abstract

We present an overview of our cognitive system architecture (COSA) with applications in the multi-UAV flight guidance and mission management areas. Our work is based on a modified version of the psychological Rasmussen scheme. We belief that modeling in close analogy with categories of human behavior simplifies human-machine interaction as well as the knowledge engineering process. Accordingly, our hybrid agent architecture is comprised of a low-level, reactive layer with prestored procedures and a goal-oriented, deliberative layer that enables inference and dynamic planning. The first, fully functional version of our architecture is based purely on production rules and the Soar interpreter, enhanced with syntax extensions specific to our modeling approach. We then developed our own inference machine based on graph matching which natively support extensions such as type-safety and class-inheritance and resulted in performance improvements over the original Rete algorithm of Soar. A major weakness of our current implementation still lies in its static planning functionality which is realized by a means-ends plan library. We discuss a concept that interleaves the planning process with knowledge about anticipated action outcomes, followed by an interpretation of projected future world states with respect to current goals. We illustrate this principle with a multi-UAV scenario.

References

  1. Billings, C. E. (1997). Aviation Automation - the Search for a Human-Centered Approach. Lawrence Erlbaum Associates, Mahwah, NJ.
  2. Endsley, M. R. and Garland, D. J. (2000). Situation Awareness Analysis and Measurement. Lawrence Erlbaum Associates, Mahwah, NJ.
  3. Ferguson, I. A. (1992). TouringMachines: An Architecture for Dynamic, Rational, Mobile Agents. PhD thesis, University of Cambridge. Clare Hall.
  4. Fikes, R. and Nilsson, N. (1971). Strips: A new approach to the application of theorem proving to problem solving. In Artificial Intelligence, volume 2, pages 198- 208, Heidelberg, Germany. Springer.
  5. Freed, M., Bonasso, P., Ingham, M., Kortenkamp, D., Pell, B., and Penix, J. (2005). Trusted autonomy for spaceflight systems. In AIAA First Space Exploration Conference, Orlando, FL.
  6. Gerevini, A. and Long, D. (2005). Plan constraints and preferences in PDDL3. Technical report, Dipartimento di Elettronica per l'Automazione, Universita degli Studi di Brescia.
  7. Laird, J. E., Newell, A., and Rosenbloom, P. S. (1987). SOAR: An architecture for general intelligence. In Artificial Intelligence, volume 33, pages 1-64, Heidelberg, Germany. Springer.
  8. Matzner, A., Minas, M., and Schulte, A. (2008). Efficient graph matching with application to cognitive automation. In Applications of Graph Transformations with Industrial Relevance, pages 297-312, Berlin, Germany. Springer.
  9. Meitinger, C. and Schulte, A. (2009). Human-uav cooperation based on artificial cognition. In Engineering Psychology and Cognitive Ergonomics, pages 91- 100, Heidelberg, Germany. Springer.
  10. Onken, R. and Schulte, A. (2009). System-ergonomic Design of Cognitive Automation in Work Systems. Springer, Heidelberg, Germany.
  11. Rasmussen, J. (1983). Skills, rules and knowledge, signals, signs and symbols, and other distinctions in human performance models. In IEEE Transactions on Systems, Man, and Cybernetics, volume SMC-13, pages 257-266, Heidelberg, Germany. Springer.
  12. Rauschert, A., Meitinger, C., and Schulte, A. (2008). Experimentally discovered operator assistance needs in the guidance of cognitive and cooperative uavs. In Proceedings of HUMOUS conference, Brest, France. Springer.
  13. Schulte, A., Meitinger, C., and Onken, R. (2008). Human factors in the guidance of uninhabited vehicles: Oxymoron or tautology? the potential of cognitive and co-operative automation. In International Journal on Cognition Technology & Work, Heidelberg, Germany. Springer.
  14. Uhrmann, J., Strenzke, R., Rauschert, A., C.Meitinger, and Schulte, A. (2009). Manned-unmanned-teaming: Artificial cognition applied to multiple uav guidance. In NATO RTO SCI Symposium on Intelligent Uninhabited Vehicle Guidance Systems, Neubiberg, Germany.
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Paper Citation


in Harvard Style

Brüggenwirth S., Strenzke R., Alexander A. and Schulte A. (2010). A GENERIC COGNITIVE SYSTEM ARCHITECTURE APPLIED TO THE UAV FLIGHT GUIDANCE DOMAIN . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-674-022-1, pages 292-298. DOI: 10.5220/0002718202920298


in Bibtex Style

@conference{icaart10,
author={Stefan Brüggenwirth and Ruben Strenzke and Alexander Alexander and Axel Schulte},
title={A GENERIC COGNITIVE SYSTEM ARCHITECTURE APPLIED TO THE UAV FLIGHT GUIDANCE DOMAIN},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2010},
pages={292-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002718202920298},
isbn={978-989-674-022-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A GENERIC COGNITIVE SYSTEM ARCHITECTURE APPLIED TO THE UAV FLIGHT GUIDANCE DOMAIN
SN - 978-989-674-022-1
AU - Brüggenwirth S.
AU - Strenzke R.
AU - Alexander A.
AU - Schulte A.
PY - 2010
SP - 292
EP - 298
DO - 10.5220/0002718202920298