tony @ cassandra.org

Research Publications

My publications are grouped into the following topic areas:


Refereed Papers on Low-vision Navigation

These are papers that came out of a collaboration with Brian Stankiewicz in the Psychology Department of the University of Texas at Austin. We began our collaboration in the Summer of 2004 and I spent one semester in his lab as a Research Fellow in the Spring of 2005.

Development and Evaluation of a Bayesian Low-Vision Navigation Aid
Brian Stankiewicz, Anthony Cassandra, Matt McCabe and William Weathers
Institute of Electrical and Electronics Engineers Transactions on Systems, Man, and Cybernetics
November 2007
A Low-Vision Navigation Aid Using Ideal Observer Analysis
Brian Stankiewicz, Matt McCabe and Anthony Cassandra
Journal of Vision, 4(8), 895a
August 2004

Refereed Papers on Distributed Agents

These papers are from the work I did with collaborators I first worked with at MCC on distributed agent systems. After the demise of MCC, many of my colleagues moved to Telcordia and continued working on similar research projects. These papers reflect work I participated in at MCC and Telcordia.

Using POMDP-Based State Estimation to Enhance Agent System Survivability
Anthony Cassandra, Marian Nodine, Shilpa Bondale, Steve Ford and David Wells
Proceedings of the Second IEEE Symposium on Multi-agent Security and Scalability (MAS&S)
August 2005
Adaptive Defense Coordinator for Multi-agent Systems
David Wells, Paul Pazandak, Mariane Nodine and Anthony Cassandra
Proceedings of the First IEEE Symposium on Multi-agent Security and Scalability (MAS&S)
August 2004
Scalable Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth
Mariane Nodine, Anne Hee Hiong Ngu, Anthony Cassandra and William G. Bohrer
IEEE Transactions on Knowledge and Data Engineering
September/October 2003
Capability-based Agent Matchmaking
Anthony Cassandra, Damith Chandrasekara and Marian Nodine
Fourth International Conference on Autonomous Agents (Agents 2000)
June 2000
Providing Customized Process and Situation Awareness in the Collaboration Management Infrastructure
Donald Baker, Dimitrios Georgakopoulos, Hans Schuster, Anthony Cassandra and Andrzej Cichocki
Proceedings of the Fourth IECIS International Conference on Cooperative Information (COOPIS)
1999

Refereed Papers on POMDPs

POMDP is an acronym for "Partially Observable Markov Decision Process". This is a probabilistic mathematical model that can be used to make decisions under many forms of uncertainty. It has applications in Machine Learning and Operations Research. This was the topic of my doctoral thesis. You can view a tutorial and go much deeper on the subject at the POMDP.org Web Site which I created and maintain.

Solving POMDPs by Searching the Space of Finite Policies
Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, and Anthony R. Cassandra
Proceedings of the Fifteenth International Conference on Uncertainty in Artificial Intelligence
July 1999
Planning and Acting in Partially Observable Stochastic Domains
Leslie Pack Kaelbling, Michael L. Littman and Anthony R. Cassandra
Artificial Intelligence
1998
Exact and Approximate Algorithms for Partially Observable Markov Decision Processes
Anthony R. Cassandra
Ph.D. Thesis, Brown Univeristy
1998
Incremental Pruning: A Simple, Fast, Exact Algorithm for Partially Observable Markov Decision Processes
Anthony R. Cassandra, Michael L. Littman and Nevin Zhang
Uncertainty in Artificial Intelligence
July 1997
Acting Under Uncertainty: Discrete Bayesian Models for Mobile Robot Navigation
Anthony R. Cassandra, Leslie Pack Kaelbling and James A. Kurien
IEEE/Robotics Society of Japan Conference on Intelligent Robots and Systems (IROS)
September 1996
Learning Policies for Partially Observable Environments: Scaling Up
Michael L. Littman, Anthony R. Cassandra and Leslie Pack Kaelbling
Proceedings of the Twelfth International Conference on Machine Learning
July 1995
Acting Optimally in Partially Observable Stochastic Domains
Anthony R. Cassandra, Leslie Pack Kaelbling and Michael L. Littman
Proceedings of the Twelfth National Conference on Artificial Intelligence
August 1994

Refereed Papers on Natural Language Processing

I took a graduate-level course on Natural Language Processing (NLP) with the esteemed Prof. Eugene Charniak. In addition to teaching the basics of NLP, Prof. Charniak had us participate in a research project. The culmination of our collective work led to this publication, which I believe was part of a bigger research thread Prof. Charniak had been pursuing.
Taggers for Parsers
Eugene Charniak, Glenn Carroll, John Adcock, Anthony R. Cassandra, Yoshihiko Gotoh, Jeremy Katz, Michael L. Littman and John McCann
Artificial Intelligence
August 1996

Non-refereed Research Papers

The POMDP survey paper is something I just never got around to submitting for publication while the other two are a more in-depth treatment of topics related to some of the published papers (above).
A Survey of POMDP Applications
Anthony R. Cassandra
Technical Report MCC-INSL-111-98. Microelectronics and Computer Technology Corporation (MCC). Presented at the AAAI Fall Symposium, 1998
August 1998
Incremental Pruning - Technical Notes
Anthony R. Cassandra
Unpublished
January 1997
Efficient Dynamic-programming Updates in Partially Observable Markov Decision Processes
Michael L. Littman, Anthony R. Cassandra and Leslie Pack Kaelbling
Technical Report CS-95-19. Brown University Department of Computer Science
1995