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Andreas Tolk: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Katherine L. Morse, Ryan Brunton, J. Mark Pullen, Priscilla M. McAndrews, Andreas Tolk, James Muguira
    An Architecture for Web-Services Based Interest Management in Real Time Distributed Simulation. [Citation Graph (0, 0)][DBLP]
    DS-RT, 2004, pp:108-115 [Conf]
  2. Andreas Tolk, J. Mark Pullen
    Using Web Services and Data Mediation/Storage Services to Enable Command and Control to Simulation Interoperability. [Citation Graph (0, 0)][DBLP]
    DS-RT, 2005, pp:27-34 [Conf]
  3. J. Mark Pullen, Ryan Brunton, Donald P. Brutzman, David Drake, Michael R. Hieb, Katherine L. Morse, Andreas Tolk
    Using Web Services to Integrate Heterogeneous Simulations in a Grid Environment. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2004, pp:835-847 [Conf]
  4. Andreas Tolk
    What Comes After the Semantic Web - PADS Implications for the Dynamic Web. [Citation Graph (0, 0)][DBLP]
    PADS, 2006, pp:55- [Conf]
  5. Andreas Tolk
    XML Mediation Services Utilizing Model Based Data Management. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2004, pp:1476-1466 [Conf]
  6. Levent Yilmaz, Andreas Tolk
    Engineering ab initio dynamic interoperability and composability via agent-mediated introspective simulation. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2006, pp:1075-1182 [Conf]
  7. J. Mark Pullen, Ryan Brunton, Donald P. Brutzman, David Drake, Michael R. Hieb, Katherine L. Morse, Andreas Tolk
    Using Web services to integrate heterogeneous simulations in a grid environment. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2005, v:21, n:1, pp:97-106 [Journal]
  8. Andreas Tolk, Saikou Y. Diallo
    Model-Based Data Engineering for Web Services. [Citation Graph (0, 0)][DBLP]
    IEEE Internet Computing, 2005, v:9, n:4, pp:65-70 [Journal]

  9. Observations on new developments in composability and multi-resolution modeling. [Citation Graph (, )][DBLP]

  10. Conceptual modeling of information exchange requirements based on ontological means. [Citation Graph (, )][DBLP]

  11. Model-based alignment and orchestration of heterogeneous homeland security applications enabling composition of system of systems. [Citation Graph (, )][DBLP]

  12. Using agent technology to move from intention-based to effect-based models. [Citation Graph (, )][DBLP]

  13. Panel discussion: What makes good research in modeling and simulation: Sustaining the growth and vitality of the M&S discipline. [Citation Graph (, )][DBLP]

  14. A systems engineering process supporting the development of operational requirements driven federations. [Citation Graph (, )][DBLP]

  15. Knowledge representation and the dimensions of a multi-model relationship. [Citation Graph (, )][DBLP]

  16. Mathematical models towards self-organizing formal federation languages based on conceptual models of information exchange capabilities. [Citation Graph (, )][DBLP]

  17. New M&S Challenges Derived from the NATO Research & Technology Organization (RTO) Systems Analysis Studies (SAS-071) Task Group on Analytical Tools for Irregular Warfare. [Citation Graph (, )][DBLP]

  18. Exploring Effective Methods for Modeling a Comprehensive Approach to Political, Military, Economic, Social, Information, and Infrastructure (PMESII) / Human, Cultural, Social, and Behavorial (HSCB) Community of Interest (CoI). [Citation Graph (, )][DBLP]

  19. Integration of Psycho-Social Models and Methods in NATO's Approach to Operations; A Review of NATO Research and Technology Organization (RTO) Systems Analysis Studies (SAS-074). [Citation Graph (, )][DBLP]

  20. Model-based data engineering: preparing a paradigm shift towards self-organizing information exchange. [Citation Graph (, )][DBLP]

  21. Using GIS vector data to build virtual environments for agent based models. [Citation Graph (, )][DBLP]

  22. Towards a taxonomy of agents and multi-agent systems. [Citation Graph (, )][DBLP]

  23. A systems engineering process for development of federated simulations. [Citation Graph (, )][DBLP]

  24. The levels of conceptual interoperability model: applying systems engineering principles to M&S. [Citation Graph (, )][DBLP]

  25. The Levels of Conceptual Interoperability Model: Applying Systems Engineering Principles to M&S [Citation Graph (, )][DBLP]

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