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CRV
2011
IEEE
352views Robotics» more  CRV 2011»
13 years 10 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek
CONTEXT
2007
Springer
15 years 4 months ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
FMCO
2006
Springer
15 years 1 months ago
Towards a Formal Framework for Computational Trust
d Abstract) Vladimiro Sassone1 , Karl Krukow2 , and Mogens Nielsen2 1 ECS, University of Southampton 2 BRICS , University of Aarhus We define a mathematical measure for the quantit...
Vladimiro Sassone, Karl Krukow, Mogens Nielsen
NIPS
2004
14 years 11 months ago
Economic Properties of Social Networks
We examine the marriage of recent probabilistic generative models for social networks with classical frameworks from mathematical economics. We are particularly interested in how ...
Sham M. Kakade, Michael J. Kearns, Luis E. Ortiz, ...
CCS
2010
ACM
14 years 10 months ago
Computational indistinguishability logic
Computational Indistinguishability Logic (CIL) is a logic for reasoning about cryptographic primitives in computational models. It captures reasoning patterns that are common in p...
Gilles Barthe, Marion Daubignard, Bruce M. Kapron,...