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Page 5397 of Mathematical Reviews Vol. , Issue 94i [page]

1994 Mathematical Reviews  
The authors present an algorithm for the special case of evidences ordered in a complete directed acyclic graph, with the original evidences on the vertices and the additional ones on the edges: the problem  ...  Summary: “The problem of handling vagueness and uncertainty as two different kinds of partial ignorance has become a major issue in several fields of scientific research.  ... 

Computational procedures of the evidence theory for interval and fuzzy assignments of the basic probability masses for focal elements

Oleg Uzhga-Rebrov, Ekaterina Karaseva, Vasily V. Karasev
2019 Information Technology and Management Science  
In this theory, uncertainty refers to the fact: that the element of our interest (the true world) may be included in subsets of other similar elements (possible worlds).  ...  The evidence theory is attended ascribed to a specific kind of uncertainty.  ...  There are two conceptual approaches to modelling the uncertainty of the values of the main probability masses: (1) specifying these values in the form of intervals; (2) specifying these values in the  ... 
doi:10.7250/itms-2019-0007 fatcat:2rqrttnp7nhilhvq44q4626wwu

Topological analysis in Monte Carlo simulation for uncertainty propagation

Evren Pakyuz-Charrier, Mark Jessell, Jérémie Giraud, Mark Lindsay, Vitaliy Ogarko
2019 Solid Earth  
The proposed method is tested on two challenging synthetic examples with varying levels of confidence in the structural input data.  ...  Plausible model heterogeneity induces topological heterogeneity and challenges the underlying assumption of homogeneity which global uncertainty estimates rely on.  ...  The authors would like to thank Intrepid Geophysics for their participation in the software development effort that proved essential to the completion of this project. Financial support.  ... 
doi:10.5194/se-10-1663-2019 fatcat:qq3apfyjxzbqpnrzlvphandfsu

Topological Analysis in Monte Carlo Simulation for Uncertainty Estimation

Evren Pakyuz-Charrier, Mark Jessell, Jérémie Giraud, Mark Lindsay, Vitaliy Ogarko
2019 Solid Earth Discussions  
The proposed method is tested on two challenging synthetic examples with varying levels of confidence in the structural input data.  ...  Plausible model heterogeneity induces geological incompatibility and challenges the underlying assumption of homogeneity which global uncertainty estimates rely on.  ...  Acknowledgements The authors would like to thank Intrepid Geophysics for their participation in the software development effort that proved essential to the completion of this project.  ... 
doi:10.5194/se-2019-78 fatcat:dhobvva2cveozeuh3furhozbpq

BaRT: A Bayesian Reasoning Tool for Knowledge Based Systems [article]

Lashon B. Booker, Naveen Hota, Connie Loggia Ramsey
2013 arXiv   pre-print
BART has already been used to develop a decision aid for classifying ship images, and it is currently being used to manage uncertainty in systems concerned with analyzing intelligence reports.  ...  We are implementing a knowledge engineering tool called BART that is designed with these lessons in mind.  ...  Uncertainty management schemes that insist on relatively rigid strategies like establish refine are not well suited to handle this situation.  ... 
arXiv:1304.1496v1 fatcat:ste4kqybrnbp7hdkq5d5w5lpgu

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) [article]

Zied Bouraoui and Antoine Cornuéjols and Thierry Denœux and Sébastien Destercke and Didier Dubois and Romain Guillaume and João Marques-Silva and Jérôme Mengin and Henri Prade and Steven Schockaert and Mathieu Serrurier and Christel Vrain
2019 arXiv   pre-print
in ML, or case-based reasoning and analogical reasoning), before discussing examples of synergies between KRR and ML (including topics such as belief functions on regression, EM algorithm versus revision  ...  , the semantic description of vector representations, the combination of deep learning with high level inference, knowledge graph completion, declarative frameworks for data mining, or preferences and  ...  The handling of uncertainty in KRR has a long history, as much with the handling of incomplete information in non-monotonic reasoning as with the handling of probabilities in Bayesian nets [Pea88] , and  ... 
arXiv:1912.06612v1 fatcat:yfnx3pzs6jhxtggaylc76pwjc4

Decision and Reasoning in Incompleteness or Uncertainty conditions

Gerardo Iovane, Patrizia Di Gironimo, Marta Chinnici, Antonio Rapuano
2020 IEEE Access  
In this study we will build an uncertainty logic by using the concept of probability, with those of plausibility, credibility and possibility.  ...  After that, we will prove the models reliability through a final simulation on the Biometrics and Sport fields using one of the models; these simulation are fully replicabile for each field and for each  ...  Ds' plausibility theory conceives plausible reasoning as a conceptual model for guiding decision-making under uncertainty conditions, which is broadly defined respecting the DS' theory.  ... 
doi:10.1109/access.2020.3003726 fatcat:cazju3jynve5hczmtof6y6txje

Multi-Agent Ontology Mapping with Uncertainty on the Semantic Web

Miklos Nagy, Enrico Motta, Maria Vargas-Vera
2007 2007 IEEE International Conference on Intelligent Computer Communication and Processing  
Ontology mapping in the context of Question Answering can provide more correct results if the mapping process can deal with uncertainty effectively that is caused by the incomplete and inconsistent information  ...  For ontology mapping in the context of Question Answering on the Semantic Web we propose a multi agent framework where agents create dynamic ontology mappings in order to integrate information and provide  ...  The recall and precision graphs for the DSSim(with uncertainty) and SimpleSim(without uncertainty) over the whole benchmarks are depicted on Fig. 3 .  ... 
doi:10.1109/iccp.2007.4352141 fatcat:z7fh5hguenapxg6i3iw2gpy6gu

Multi Agent Ontology Mapping Framework in the AQUA Question Answering System [chapter]

Miklos Nagy, Maria Vargas-Vera, Enrico Motta
2005 Lecture Notes in Computer Science  
In order to incorporate uncertainty inherent to the mapping process, the system uses the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping.  ...  This paper describes a domain specific multi-agent ontologymapping solution in the AQUA query answering system.  ...  Uncertainty handling In our framework we use the Dempster-Shafer theory of evidence, which provides a mechanism for modeling and reasoning with uncertain information in a numerical way especially when  ... 
doi:10.1007/11579427_8 fatcat:54hsjvakyrabter2gc4yhwnegy

Conceptual design and analysis by sketching

H. LIPSON, M. SHPITALNI
2000 Artificial intelligence for engineering design, analysis and manufacturing  
In this paper we hypothesize that the key to enabling systems to reason and communicate about conceptual design is the language of sketching.  ...  stages of design in order to institute conceptual analysis.  ...  Acknowledgements This research has been supported in part by the Israel Science Foundation (ISF) grant 033-028 and by the Fund for the Promotion of Research at the Technion, No. 033-058.  ... 
doi:10.1017/s0890060400145044 fatcat:alt2t3znxrcqnoijbbikjgzkgm

A framework for assessing uncertainties in simulation predictions

Kenneth M Hanson
1999 Physica D : Non-linear phenomena  
A probabilistic network facilitates both conceptualizing and computationally implementing an analysis of a large number of experiments in terms of many i n trinsic models in a logically consistent manner  ...  A probabilistic framework is presented for assessing the uncertainties in simulation predictions that arise from model parameters derived from uncertain measurements.  ...  Acknowledgements Many h a ve helped me understand various aspects of simulation codes and uncertainty estimation in a Bayesian context including Julian Besag, Anges de Cr ecy, Greg Cunningham, Eric Ferm  ... 
doi:10.1016/s0167-2789(99)00090-1 fatcat:a5u4zku7xbdhzlpopja7jnu5li

Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources

S. N. Yanushkevich, W. G. Howells, K. A. Crockett, J. O'Shea, H. C. R. Oliveira, R. M. Guest, V. P. Shmerko
2019 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI)  
Inference engine is a causal network that uses various uncertainty metrics and reasoning mechanisms including Dempster-Shafer and Dezert-Smarandache beliefs.  ...  This paper describes an approach to design a platform for risk and trust modeling and evaluation in the cognitive identity management built upon processing heterogeneous data including biometrics, other  ...  The authors also acknowledge the anonymous reviewers for their valuable recommendations on improving the paper.  ... 
doi:10.1109/cogmi48466.2019.00014 dblp:conf/cogmi/YanushkevichHCO19 fatcat:x3dkzauivrdhfakby64sjdfg6i

Predictive coding and thought

Daniel Williams
2018 Synthese  
we can think and flexibly reason about phenomena at any level of spatial and temporal scale and abstraction; second, its rich compositionality-the specific way in which concepts productively combine to  ...  I argue that its commitments concerning the nature and format of cognitive representation are inadequate to account for two basic characteristics of conceptual thought: first, its generality-the fact that  ...  I would also like to thank two anonymous reviewers for helpful comments and suggestions on an earlier version of this manuscript.  ... 
doi:10.1007/s11229-018-1768-x fatcat:7jxz6rbul5alvi5nmkxdq5v5xi

Logical models in information retrieval: Introduction and overview

Mounia Lalmas
1998 Information Processing & Management  
In particular, I wish to thank Juliet van Rijsbergen for her kind support in explaining me the mystery of the English language.  ...  Nevertheless, many people in the information retrieval community do not yet appreciate the work performed in this area, mainly because they do not understand logical formalisms, and hence cannot see the  ...  Documents and queries are represented by conceptual graphs, and the transformation process is instantiated by operations performed on the graphs.  ... 
doi:10.1016/s0306-4573(97)00041-1 fatcat:zbh7mky3orhgzcygeia465rpoy

Axiomatic particle filtering for goal-directed robotic manipulation

Zhiqiang Sui, Odest Chadwicke Jenkins, Karthik Desingh
2015 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
We present experimental results of using the APF to infer scene graphs from depth images of 3D point clouds for worlds with objects that are touching, stacked, and occluded.  ...  Addressing this problem, we introduce the Axiomatic Particle Filter (APF) as a method for axiomatic state estimation to simultaneously perceive objects in clutter and perform sequential reasoning for manipulation  ...  ACKNOWLEDGMENTS This work was supported in part by Office of Naval Research grant N00014-08-1-0910 and NASA grant NNX13AN07A.  ... 
doi:10.1109/iros.2015.7354006 dblp:conf/iros/SuiJD15 fatcat:jrwki36hlza6vkrqoz45ybt65q
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