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AAAI
1990
15 years 8 months ago
Understanding Natural Language with Diagrams
We describe a program, BEATRIX, that can understand textbook physics problems specified by a combination of English text and a diagram. The result of the understanding process is ...
Gordon S. Novak, William C. Bulko
ALDT
2009
Springer
146views Algorithms» more  ALDT 2009»
15 years 11 months ago
Iterated Majority Voting
Abstract. We study a model in which a group of agents make a sequence of collective decisions on whether to remain in the current state of the system or switch to an alternative st...
Stéphane Airiau, Ulle Endriss
IJMMS
1998
153views more  IJMMS 1998»
15 years 6 months ago
Brahms: simulating practice for work systems design
A continuing problem in business today is the design of human-computer systems that respect how work actually gets done. The overarching context of work consists of activities, wh...
William J. Clancey, Patricia Sachs, Maarten Sierhu...
214
Voted
AAAI
2007
15 years 9 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
217
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AAAI
2006
15 years 8 months ago
Decision Making in Uncertain Real-World Domains Using DT-Golog
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
Mikhail Soutchanski, Huy Pham, John Mylopoulos