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» Arguing Using Opponent Models
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AGI
2008
13 years 9 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
ENTCS
2008
125views more  ENTCS 2008»
13 years 7 months ago
Quantum Arrows in Haskell
We argue that a realistic model for quantum computations should be general with respect to measurements, and complete with respect to the information flow between the quantum and ...
Juliana Kaizer Vizzotto, Antônio Carlos da R...
CORR
2000
Springer
109views Education» more  CORR 2000»
13 years 7 months ago
TnT - A Statistical Part-of-Speech Tagger
Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov mod...
Thorsten Brants
CIE
2005
Springer
14 years 1 months ago
How to Compare the Power of Computational Models
We argue that there is currently no satisfactory general framework for comparing the extensional computational power of arbitrary computational models operating over arbitrary doma...
Udi Boker, Nachum Dershowitz
FOSSACS
2006
Springer
13 years 11 months ago
Bigraphical Models of Context-Aware Systems
Abstract. As part of ongoing work on evaluating Milner's bigraphical reactive systems, we investigate bigraphical models of context-aware systems, a facet of ubiquitous comput...
Lars Birkedal, Søren Debois, Ebbe Elsborg, ...