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An Argumentation Framework for Deriving Qualitative Risk Sensitive Preferences [chapter]

Wietske Visser, Koen V. Hindriks, Catholijn M. Jonker
2011 Lecture Notes in Computer Science  
We present an argumentation framework for deriving qualitative, multi-attribute preferences and incorporate defeasible reasoning about knowledge.  ...  This introduces risk when such knowledge is used in practical reasoning. Typically, a risk prone attitude will result in different preferences than a risk averse attitude.  ...  In our approach, we combine reasoning about preferences and knowledge in a single argumentation framework.  ... 
doi:10.1007/978-3-642-21827-9_56 fatcat:5y272jym6vcnbfbci5ipe3z6qm

Guest Editorial Argumentation-Based Reasoning

Francesco Parisi, Gerardo I. Simari
2021 IEEE Intelligent Systems  
Argumentation is a useful approach in this setting: Reasons for and against a claim are analyzed to decide on an outcome, much in the same way as organized human discussions are carried out. 1-5 An important  ...  are ideal for query answering and reasoning systems that contemplate human-in-theloop models to tackle the challenges of incompleteness and inconsistency in data.  ...  a biased decision is about to be made.  ... 
doi:10.1109/mis.2021.3074847 fatcat:5sbarbxpx5bjvoefixrnyog5ka

Qualitative Spatial Reasoning [chapter]

Christian Freksa
1991 Cognitive and Linguistic Aspects of Geographic Space  
An example from vision (the aquarium domain) is used to illustrate in which ways knowledge about space may be uncertain or incomplete.  ...  The role of abstraction in spatial reasoning and the advantages of qualitative spatial knowledge over quantitative knowledge are discussed.  ...  In Freksa [1990] , AllenÕs approach has been generalized to allow for reasoning with incomplete or coarse knowledge about temporal relations.  ... 
doi:10.1007/978-94-011-2606-9_20 fatcat:r62d5wlfd5ecjocckqrujpnvx4

A knowledge based approach for representing and reasoning about signaling networks

C. Baral, K. Chancellor, N. Tran, N.L. Tran, A. Joy, M. Berens
2004 Bioinformatics  
Some of the advantages of our approach are, we can use recent advances in reasoning with incomplete and partial information to deal with gaps in signal network knowledge; and can perform various kinds  ...  Motivation: In this paper we propose to use recent developments in knowledge representation languages and reasoning methodologies for representing and reasoning about signaling networks.  ...  ACKNOWLEDGEMENTS The authors would like to thank Professor Subbarao Kambhampati for coining the term BioSigNet. The first three authors acknowledge the support of NSF through grant number 0070463.  ... 
doi:10.1093/bioinformatics/bth918 pmid:15262776 fatcat:mn3vcmof4jbyraqqhueifke2tu

Prospective Middle-School Mathematics Teachers' Quantitative Reasoning and Their Support for Students' Quantitative Reasoning

Tangul Kabael, Ayca Akin
2018 International Journal of Research in Education and Science  
For this reason, when a student reasons quantitatively, s/he is able to use a number of skills such as constructing the quantity, determining relationships among the quantities, coordinating the dependence  ...  Since quantitative reasoning is a skill that needs to be improved from the pre-school, many components of quantitative reasoning are used in the construction process of the concept of quantity.  ...  Since the conceptions of these participants about quantitative concepts were incomplete, they reflected incomplete conceptions of these concepts both when solving the problems with the researcher and when  ... 
doi:10.21890/ijres.383126 fatcat:nnaksgm2ofbcbkx6knve66yuyy

Analysis of Process Models: A Fuzzy Logic Approach

A. Zakarian
2001 The International Journal of Advanced Manufacturing Technology  
An approximate rule based reasoning approach is developed for quantitative analysis of process models. The effectiveness of the approach is illustrated with an industrial example.  ...  Possibility distributions are used to represent uncertain and incomplete information of process variables.  ...  The approach integrates fuzzy-rule-based reasoning with IDEF3 methodology for quantitative analysis of process models with imperfect knowledge.  ... 
doi:10.1007/s001700170162 fatcat:szuincvrhvdvlnfd5mt5bac2bm

Lessons Learned from Robotics Applied to Cyber Security

Teresa Escrig, Sam Chung
2013 International Journal of Computer Applications  
At the beginning, there was a knowledge gap between the different fields that we needed to bridge.  ...  This paper is about the lessons learnt from Robotics that can be transferred into Cyber Security as wisdom to provide the basis for a holistic strategy to mitigate the severe and increasing Cyber Security  ...  Qualitative Models have been demonstrated to be the best approach to model common sense knowledge [16, 17, 18, 19, 20] , by transforming incomplete and uncertain data from the environment into knowledge  ... 
doi:10.5120/12904-9795 fatcat:7evrm3yu6rezzf3ll76ggmkdim

The Inescapable Duality of Data and Knowledge [article]

Amit Sheth, Krishnaprasad Thirunarayan
2021 arXiv   pre-print
We will draw a parallel with the role of knowledge and experience in human intelligence based on cognitive science.  ...  We will discuss how over the last 30 to 50 years, systems that focused only on data have been handicapped with success focused on narrowly focused tasks, and knowledge has been critical in developing smarter  ...  Non-monotonic reasoning formalisms were introduced to represent exceptions and reason in the presence of incomplete knowledge.  ... 
arXiv:2103.13520v1 fatcat:6k643qsptra2jblh5dfq5mvkye

Permissible Errors in Managing Property: An Approach to the Threshold of Capacity

Michel Silberfeld, Wendy Corber
1996 Canadian journal of psychiatry  
Objective: To demonstrate a practical approach to describing the threshold of mental capacity.  ...  Method: A retrospective analysis of 62 cases of assessments for capacity to manage property was carried out to record the type and frequency of errors.  ...  An incomplete but correct knowledge of expenses was permissible to a greater degree.  ... 
doi:10.1177/070674379604100808 pmid:8899237 fatcat:datgdnwtbnakxowt6gwy6uyl6q

Keep it complex

Andy Stirling
2010 Nature  
Choosing between these methods requires a more rigorous approach to assessing incomplete knowledge, avoiding the temptation to treat every problem as a risk nail, to be reduced by a probabilistic hammer  ...  incomplete knowledge  ... 
doi:10.1038/4681029a pmid:21179144 fatcat:apwixfkgdba27iycz2htjkvbz4

Mathematical Foundations of Qualitative Reasoning

Louise Travé-Massuyès, Liliana Ironi, Philippe Dague
2004 The AI Magazine  
The article then bridges to quantitative modeling, highlighting the benefits of qualitative reasoning-based approaches in the framework of system identification, and discusses open research issues.  ...  We examine different formalisms for modeling qualitatively physical systems and their associated inferential processes that allow us to derive qualitative predictions from the models.  ...  Reasoning about Orders of Magnitude Reasoning about orders of magnitude is a very natural way to reason qualitatively.  ... 
doi:10.1609/aimag.v24i4.1733 dblp:journals/aim/Trave-MassuyesID04 fatcat:it7yeu5hf5hnnec64ks5z22t5u

Querying Incomplete Geospatial Information in RDF [chapter]

Charalampos Nikolaou, Manolis Koubarakis
2013 Lecture Notes in Computer Science  
Partial knowledge about property values is expressed by a quantifier-free formula of a first-order constraint language.  ...  In the temporal case, this approach has been followed successfully by temporal reasoners.  ... 
doi:10.1007/978-3-642-40235-7_26 fatcat:2bdyaci4aze4tdrvekg6zezxji

Reasoning-Based Techniques for Dealing with Incomplete Business Process Execution Traces [chapter]

Piergiorgio Bertoli, Chiara Di Francescomarino, Mauro Dragoni, Chiara Ghidini
2013 Lecture Notes in Computer Science  
This technical report presents a novel reasoning-based approach to recover missing information about process executions, relying on a logical formulation in terms of a satisfiability problem, and leveraging  ...  This may hinder the ability to reason about process instances and executions, and must be coped with.  ...  That is, is it capable to fill significantly incomplete traces? RQ2 Is the SAT-reasoning based approach usable for facing the issue of incomplete traces?  ... 
doi:10.1007/978-3-319-03524-6_40 fatcat:quiqxzihmjbpbpdhlkaaxkbtsm

Inductive reasoning and semantic web search

Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
2010 Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10  
In this paper, we propose to further enhance this approach to Semantic Web search by the use of inductive reasoning.  ...  A very promising recent approach to such Semantic Web search is based on combining standard Web search with ontological background knowledge and using standard Web search engines as the main inference  ...  Clearly, inductive reasoning may also be able to give a correct classification in the presence of incompleteness in a knowledge base.  ... 
doi:10.1145/1774088.1774397 dblp:conf/sac/dAmatoEFFGL10 fatcat:kfwa7eixn5ezbonauy2ppkjnla

Spatial reasoning with incomplete information on relative positioning

S.M.R. Dehak, I. Bloch, H. Maitre
2005 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This last example uses angular relationships and some additional knowledge about the position.  ...  We address this problem in the case of incomplete information where only the angular spatial relationships are known. The use of probabilistic representations allows us to model prior knowledge.  ...  Outline of the Proposed Approach In this paper, we use a quantitative representation of spatial uncertain information based on probabilities and propose a contribution to spatial reasoning and inference  ... 
doi:10.1109/tpami.2005.186 pmid:16173189 fatcat:dxyt2qmfsnfwjmdyixv64ueica
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