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Ernest Davis
New York University
New York, New York
 

Ernest Davis received his BS in mathematics from MIT in 1977 and his PhD in computer science from Yale in 1984. He has been on the faculty of the Computer Science Department at the Courant Institute, New York University since 1983.

Davis’ research area is the representation of commonsense knowledge in AI systems. His work has focused primarily on spatial and physical reasoning, but he has also done work in reasoning about knowledge, belief, plans, and goals, and their interaction with physical reasoning. He is currently working in collaboration with Gary Marcus of the NYU Psychology Department on combining AI and psychological models of commonsense physical reasoning.

Davis is the author of more than 50 scientific papers and three books: Representing and Acquiring Geographic Knowledge (1986); Representations of Commonsense Knowledge (1990); and Linear Algebra and Probability for Computer Science Applications (2012). He has created four regular courses in the Computer Science Department curriculum, including one of the first courses on web search engines offered anywhere. He has supervised nine doctoral theses and five master’s theses. He has served as a program committee member for 50 scientific conferences and workshops and as a referee for 15 journals. In addition, he served as book reviews editor for IEEE Expert and is currently an area editor for ACM Transactions on Computational Logic.

Davis writes book and article reviews on topics ranging across computer science, mathematics, cognitive psychology, history of science, scientific biography, digital humanities, invented languages, and children’s literature. In addition to Computing Reviews, these have been published in SIAM News, Artificial Intelligence, IEEE Expert, American Scientist, Mythprint, The Times Literary Supplement, and The New Yorker.


     

Dance notations and robot motion
Laumond J., Abe N.,  Springer Publishing Company, Incorporated, New York, NY, 2015. 430 pp. Type: Book (978-3-319257-37-2)

Dance is the most perishable of the arts. Traditionally, dances are taught by one generation of dancers to the next; if memory fails or the chain of transmission breaks, then the dance is lost. Recent works of major significance have been lost in ...

 

Machine translation
Bhattacharyya P.,  Chapman & Hall/CRC, Boca Raton, FL, 2015. 248 pp. Type: Book (978-1-439897-18-8)

Machine translation (MT) was one of the earliest goals of artificial intelligence (AI) research; its first rise in the late 1950s and fall in the mid-1960s is one of the classic examples of excessive hype followed by dramatic deflation in the hist...

 

Leonhard Euler: mathematical genius in the Enlightenment
Calinger R.,  Princeton University Press, Princeton, NJ, 2015. 696 pp. Type: Book (978-0-691119-27-4)

In the pantheon of great mathematicians, Leonhard Euler (1707-1783) is one of the supreme deities. It is not possible even to outline his accomplishments within the word limit of this review. Euler was the founding father of the calculus of variat...

 

Three views of logic: mathematics, philosophy, and computer science
Loveland D., Hodel R., Sterrett S.,  Princeton University Press, Princeton, NJ, 2014. 344 pp. Type: Book (978-0-691160-44-3), Reviews: (1 of 2)

Mathematical logic historically had its roots in mathematics and philosophy, and is one of the foundations of computer science (CS). All three disciplines continue to contribute to the development of the field, and each provides a different perspe...

 

An empirical perspective on representing time
Scheuermann A., Motta E., Mulholland P., Gangemi A., Presutti V.  K-CAP 2013 (Proceedings of the 7th International Conference on Knowledge Capture, Banff, Canada,  Jun 23-26, 2013) 89-96, 2013. Type: Proceedings

What is the best way to represent a state that changes over time, such as “Obama is the President of the United States” (that is, in 2014)? This kind of issue arises constantly in developing ontologies for use in the semantic web. Ther...

 
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