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Joseph S. Fulda
fulda@acm.org
New York, New York
 

Joseph S. Fulda was educated at Yeshiva Hirsch High School for Boys and the College of Liberal Arts and Sciences at The City College of New York, where he received a B.S. summa cum laude with research honors in biology. He earned his master’s in computer science from the Courant Institute of Mathematical Sciences at New York University and received his professional degree (Computer Systems Engineer) from Columbia’s School of Engineering and Applied Science in 1986. In 1990, he was granted a doctorate in computer science by the Graduate School of the City University of New York, based on dissertation research he performed at the Mount Sinai School of Medicine, while serving there as Research Assistant Professor of Biomathematical Sciences. Fulda has taught computer science while serving on faculties of engineering, arts and sciences, and continuing education, and has prepared questions for all three sections of the Law School Admission Test (logical reasoning, analytical reasoning, and reading comprehension).

His technical publications are in theoretical population ecology, artificial intelligence (philosophical artificial intelligence, logic-based artificial intelligence, and knowledge engineering), symbolic logic (Fulda defends the truth-functionality of the conditional and believes logical form is the key to how much meaning is captured in text), and privacy theory. He has written over four dozen reviews for Computing Reviews since 1988.

Fulda has also written extensively on public matters publishing two books on classical liberal thought, as well as numerous articles, notes, and reviews for the educated public. He is a contributing editor of The Freeman (since 1994), an associate editor of Transaction's Sexuality & Culture (since 1997), and is a columnist for the St. Croix Review (since 2000). He served on the editorial board of Computers and Society for five years (until it ceased print publication in 2002).


     

On a combination of probabilistic and Boolean IR models for WWW document retrieval
Yoshioka M., Haraguchi M. ACM Transactions on Asian Language Information Processing 4(3): 340-356, 2005.  Type: Article

The authors presume that readers will have substantial knowledge of the details of query reformulation in the context of information retrieval (IR), including background material, acronyms, and a significant familiarity with some of th...

 

A Concept-Driven Algorithm for Clustering Search Results
Osinski S., Weiss D. IEEE Intelligent Systems & Their Applications 20(3): 48-54, 2005.  Type: Article

Contrary to popular belief, search engines don’t answer questions. They merely provide fast access to the information … on the Web.… Popular search engines … return Web pages matching...
 

Learning to Decode Cognitive States from Brain Images
Mitchell T., Hutchinson R., Niculescu R., Pereira F., Wang X., Just M., Newman S. Machine Learning 57(1-2): 145-175, 2004.  Type: Article

The research reported on here sought to automatically classify cognitive states based on functional magnetic resonance imaging (fMRI) data from a single time interval. In three sets of experiments, classifiers were taught to successful...

 

On some alleged misconceptions about fuzzy logic
Pelletier F. Artificial Intelligence Review 22(1): 71-82, 2004.  Type: Article

The fuzzy logic discussed in this reply to Entemann [1] is due to Zadeh, in which singular propositions such as Pa take on truth values in the real-valued interval [0.0..1.0], with the truth function t
 

Bowling alone together: academic writing as distributed cognition
Cronin B. Journal of the American Society for Information Science and Technology 55(6): 557-560, 2004.  Type: Article

Cronin brings his recent work with two colleagues [1,2] on subauthorship (namely, contributions sufficient for acknowledgment) and coauthorship to bear on the philosophical question of whether there is true authorship. He draws heavily...

 
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