Skip to main content

Temporal Probabilistic Behavior Rules

  • Chapter
  • First Online:
Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

Abstract

This chapter describes the syntax and semantics of Temporal Probabilistic (or TP) behavioral rules used throughout the book to describe the behavior of Lashkar-e-Taiba. The chapter describes the intuition behind TP-rules, their formal syntax and meaning, and describes an algorithm used to derive the TP-rules automatically from data about LeT.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  • Dekhtyar, A., Dekhtyar, M., Subrahmanian, V.S. (1999). Temporal Probabilistic Logic Programs: Proceedings 1999 International Conference on Logic Programming, November 1999. New Mexico. (pp. 109–123).

    Google Scholar 

  • Khuller, S., Martinez, V., Nau, D., Simari, G., Sliva, A., & Subrahmanian, V. S. (2007). Computing most probable worlds of action probabilistic logic programs: scalable estimation for 1030,000 worlds. Annals of Mathematics and Artificial Intelligence, 51(2–4), 295–331.

    Article  MathSciNet  MATH  Google Scholar 

  • Kifer, M., & Subrahmanian, V. S. (1992). Theory of Generalized Annotated Logic Programming and its Applications. Journal of Logic Programming, 12(4), 335–368.

    Article  MathSciNet  Google Scholar 

  • Mannes, A., Subrahmanian, V.S. (2009). Calculated terror, Foreign Policy magazine (online edition), December 15, 2009. Retrieved http://www.foreignpolicy.com/articles/2009/12/15/calculated_terror?page=full

  • Mannes, A., Sliva, A., Subrahmanian, V.S. (2011). A computational enabled analysis of Lashkar-e-Taiba attacks in Jammu and Kashmir: Proceedings 2011 IEEE European intelligence & security informatics conference September 2011. Athens.

    Google Scholar 

  • Mannes, A., Sliva, A., Subrahmanian, V.S., Wilkenfeld, J. (2008a). Stochastic opponent modeling agents: a case study with hamas: proceedings 2008 international. conference on computational cultural dynamics (pp. 49–54), September 2008. AAAI Press.

    Google Scholar 

  • Mannes, A., Michaell, M., Pate, A., Sliva, A., Subrahmanian, V.S., Wilkenfeld, J. (2008b). In Liu, H., Salerno, J., Rogers, M. (Eds.) Stochastic opponent modelling agents: a case study with hezbollah: Proceedings 2008 first intl. workshop on social computing, behavioral modeling and prediction, April 1–2, 2008, Springer Verlag, Phoenix.

    Google Scholar 

  • Ng, R., Subrahmanian, V.S. (1993). Probabilistic Logic Programming, Information and Computation, 101, 2, 150—201.

    Google Scholar 

  • Shakarian, J. (2012). The CMOT Codebook, available from the Lab for Computational Cultural Dynamics, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742. Extended and revised by Schuetzle, B. and Nagel, M. in 2012.

    Google Scholar 

  • Shakarian, P., Simari, G. I., & Subrahmanian, V. S. (2011a). Annotated probabilistic temporal logic: approximate fixpoint implementation. ACM Transactions on Computational Logic, 12, 1–42.

    Article  MathSciNet  Google Scholar 

  • Shakarian, P., Parker, A., Simari, G., Subrahmanian, V.S. (2011b). Annotated probabilistic temporal logic. ACM Transactions on Computational Logic, 12(2).

    Google Scholar 

  • Simari, G., Martinez, V., Sliva, A., Subrahmanian, V.S. (2012) Focused most probable world computations in probabilistic logic programs. Annals of Mathematics and Artificial Intelligence., 64 (Nrs2-3):113–143.

    Google Scholar 

  • Subrahmanian, V.S., Ernst, J. (2009). Method and system for optimal data diagnosis, US patent Nr. 7474987, January 6.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. S. Subrahmanian .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Subrahmanian, V.S., Mannes, A., Sliva, A., Shakarian, J., Dickerson, J.P. (2013). Temporal Probabilistic Behavior Rules. In: Computational Analysis of Terrorist Groups: Lashkar-e-Taiba. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4769-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-4769-6_3

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4768-9

  • Online ISBN: 978-1-4614-4769-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics