Related Publications

Example HR

GTRANS

1. Cox, M. T. (2001). Toward tailored information presentation in support of collaborative planning. In B. Bell  & E. Santos (Eds.), Intent Inference for Collaborative Tasks: Papers from the 2001 fall symposium (pp. 44-50). AAAI Technical Report FS-01-05.Menlo Park, CA :AAAI Press.

2. Cox ,M.T.(2000).A conflict of metaphors :Modeling the planning process. In Proceedings of 2000 Summer Computer Simulation Conference (pp. 666-671) .San Diego :The Society for Computer Simulation International.

 3. Cox, M.T. ,Edwin,G., Balasubramaniam ,K. ,& Elahi ,M.(2001).Multiagent goal transformation and mixed initiative planning using Prodigy/Agent. In   N.Callaos ,   B.Sanchez , L.H. Encinas ,& J.G.Busse(Eds.) , Proceedings of the 5th World Multiconference on Systemics, Cybernetics and Informatics , Vol. VII(pp.1-6) .Orlando,FL :International Institute of Informatics and Systemics.

4. Cox,M., Kerekez, B.,  Srinivas,C., Edwin,G.,  Archer,W.(2000) .Toward agent-based mixed initiative interfaces .In H.R.Arabnia(Ed.) ,Proceedings of the  2000 International Conference on Artifical Intelligence ,Vol.1 (pp. 309-315). CSREA Press

5. Cox.M.T., & Veloso,M.M. (1998) .Goal Transformations in Continuous Planning . In M.desJardins(Ed.), Proceedings of the 1998 AAAI Fall Symposium on Distributed Continual Planning.Menlo Park, CA :AAAI Press/The MIT Press.

6. Cox, M. T., & Veloso,M. M. (1997a). Supporting combined human and machine planning: An interface for planning by analogical reasoning. In D. B. Leake & E. Plaza (Eds.), Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning (pp. 531-540). Berlin: Springer-Verlag.

7. Cox, M. T., & Zhang, C. (2004). Planning as a mixed-initiative goal manipulation process. (Tech. Rep. No. WSU-CS-04-02). Dayton, OH: Wright State University, Department of Computer Science and Engineering.

8. Finin, T., McKay, D., & Fritzson, R. (1992). An Overview of KQML: A Knowledge Query and Manipulation Language. Computer Science Department, University of Maryland.

9. Immaneni, T., & Cox, M. T. (2004). GTrans: An application for mixed-initiative collaborative planning during emergency response situations.  In W. W. Smari & W. McQuay (Eds.), Proceedings of the 2004 International Symposium on Collaborative Technologies and Systems (CTS 04), (pp. 121-126). Slides

10. Zhang, C. (2002), Cognitive Models For Mixed-Initiative Planning. Master’s thesis. Wright State University, Dayton, OH.

11. Zhang, C., Cox, M. T., & Immaneni, T. (2002). GTrans version 2.1 User manual and reference (Tech. Rep. No. WSU-CS-02-02). Dayton, OH: Wright State University, Departmentof Computer Science and Engineering.
 

PRODIGY

1. Carbonell, J. G., Blythe, J., Etzioni, O., Gil, Y., Joseph, R., Kahn, D., Knoblock, C., Minton, S., Perez, A., Reilly, S., Veloso, M. M., & Wang, X. (1992). Prodigy4.0: The Manual and Tutorial. Technical Report, CMU-CS-92-150. Computer Science Department, Carnegie Mellon University.

2. Veloso, M. M., Carbonell, J. G., Perez, A., Borrajo, D., Fink, E., & Blythe, J. (1995). Integrating planning and learning: The PRODIGY architecture. Journal of Theoretical and Experimental Artificial Intelligence, 7(1), 81-120.

3. Veloso, M. M., Pollack, M. E., & Cox, M. T. (1998). Rationale-based monitoring for continuous planning in dynamic environments. In R. Simmons, M. Veloso, & S. Smith (Eds.), Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems (pp. 171-179). Menlo Park, CA: AAAI Press.