A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
reasoning and knowledge representation. ... In this setting, dispositional logic provides an alternative system of inference based on fuzzy logic which is capable of addressing the issues of uncertainty and imprecision in the context of commonsense ... Although we have focused our attention in this note on the concept of dispositionality in the context of commonsense reasoning, its implications are much broader. ...doi:10.1016/0893-9659(88)90185-1 fatcat:tsezuqhx45circa7sisymjsw7m
An alternative approach to the management of uncertainty which is suggested in this paper is based on the use of fuzzy logic, which is the logic underlying approximate or equivalently, fuzzy reasoning. ... Commonsense knowledge is meant in terms of representation and manipulation of dispositions, i.e. propositions with implicit linguistic quantifiers. ...
But conventional knowledge representation techniques based, e.g., on methods from predicate logic are not well-suited to the job. ... The author’s main concern is with the representation of so-called commonsense knowledge as necessary, e.g., for the construction of knowledge bases for AI applications. ...
Lecture Notes in Computer Science
We also examine the tradeoffs associated with representing commonsense knowledge in formal logic versus in natural language. ... that its knowledge representation is itself textual. ... One of the primary applications of commonsense knowledge bases is to draw inferences about text. Using a logical framework of commonsense like Cyc to reason about text is quite complex. ...doi:10.1007/978-3-540-30134-9_40 fatcat:tz5zh7tohbgbjlyyk4jyveyq3q
In this paper, it presents an approach to modeling commonsense knowledge in clinical psychology in Ayurvedic medicine. ... It gives three-phase an approach for modeling commonsense knowledge in psychological assessment which enables holistic approach for clinical psychology. ... Knowledge Base Explanations for output generated by the fuzzy logic module have been processed using fuzzy rules in the knowledge base. ...doi:10.17265/2328-7136/2014.01.005 fatcat:7ja7ml6hy5hc5mcgleduh7xwmy
This paper surveys the use of logic-based representations of commonsense knowledge in artificial intelligence research. ... One approach that has been pursued since the earliest days of the field has been to encode commonsense knowledge as statements in a logic-based representation language and to implement commonsense reasoning ... Representations of Commonsense Knowledge (Davis, 1990 ) is a textbook on logic-based representations of commonsense knowledge. ...doi:10.1613/jair.5339 fatcat:rt4pvmx6dzejjjvijr4kucjldq
in, 247-302 on planning, 314-322 Assertion, decision making rules as, 113-141 Assumptions, satisfaction of, 345-346 Attention, focusing of, during knowledge acquisition, 336 Automated reasoning, representing ... plasminogen activator, 342 Bayesian belief networks, 337 stochastic stimulation of, 331 Bayesian inference, in model-based machine vision, 327-328 Bayesian prediction, for artificial intelligence, 342 ... Fuzzy process modeling, 109 Fuzzy regression, for electrical resistivity, 96 Fuzzy-rule based control, inference engines for, 102 Fuzzy rule-based expert systems, new concept based on, 108-109 Fuzzy set ...doi:10.1016/0888-613x(88)90114-4 fatcat:rj373wy2pzff3d3otqdhxs2gca
Reichenbach [Elements of symbolic logic, The Macmillan Company, New York, N. Y., 1947; MR 8, 557a] and rephrases them in a modal logic based on triples of time points. Marcus Kracht (Berlin) ... Nonmonotonic reasoning is a well-developed research area gathering the logical formalisms that treat commonsense reasoning. One of the best known of such formalisms is default logic. ...
IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.
However, in our commonsense world, it is unlikely that all possible factors can be known. In commonsense, every day reasoning, we use approaches that do not require complete knowledge. ... This is true for commonsense reasoning as well as for mathematical and scientific theory. Knowledge of at least some causal effects is imprecise. ... Directed Graphs Various graph based Bayesian based methods have been suggested to recognize causality. Probably the best known is the class of methods based on Directed Acyclic Graphs (DAGs). ...doi:10.1109/nafips.2004.1336317 fatcat:7hen64t7zvh2zmepbxpnlhku2i
Knowledge representation: Sangchul Kim, Checking a rule base with certainty factor for incompleteness and inconsistency (pp. 201-208); Panos A. ... Magrez, Fuzzy qualitative modeling (pp. 231-238); Anita Wasilewska, Knowledge representation sys- tems: syntactic methods (pp. 239-254). ...
To automate such a reasoning process by computers, a description logic based knowledge mediator is designed and plugged in the system to dynamically provide the required commonsense knowledge for case ... In this paper, we present a commonsense knowledge supported intelligent news analysis system for portfolio risk prediction. ... Description logic based commonsense knowledge mediator Description logic (DL) is a family of knowledge representation (KR) formalisms for representing knowledge and reasoning about it  . ...doi:10.1109/hicss.2011.116 dblp:conf/hicss/ChenYWL11 fatcat:vhpttc6zgvamllb5ld36atiw3q
This latter special issue covered work addressing the use of logic, in one form or another, for representing and reasoning with knowledge. ... It comes just over 25 years since a similar special issue of the Journal of Philosophical Logic appeared on the topic Philosophical Logic and Artificial Intelligence  . ... It is an open question as to how much of AI is, or needs to be, knowledge-based. Some areas, such as planning, diagnosis, or commonsense reasoning, are strongly knowledge-based. ...doi:10.1007/s10992-014-9330-x fatcat:crhqiaxwhrcmhmq6ogeblp6vtm
“In this paper we present a detailed overview of autoepistemic logic of knowledge and beliefs (AELB), a simple and simulta- neously very expressive nonmonotonic knowledge representation system introduced ... Within this logic, we can define the expected utility of a conditional plan, based on the axiomati- zation of the actions, the sensors and the utility. ...
In many cases commonsense knowledge consists of knowledge of what is usual. In this paper we develop a system for reasoning with usual information. ... This system is based upon the fact that these pieces of commonsense information involve both a probabilistic aspect and a granular aspect. ... Since much of the information in knowledge-based systems involves the use of commonsense knowledge. This theory of usuality will greatly impinge in· this area. ...arXiv:1304.3118v1 fatcat:vwrpmg3wsvaixlmg2qzykyez6e
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
This paper considers the needs of commonsense causality and suggests Fuzzy Cognitive Maps as an alternative to DAGs. In many ways, causality is granular. ... In commonsense, every day reasoning, we use approaches that do not require complete knowledge. ... Fuzzy theory can offer more choices. Mendel  and Kandasamy  have introducing indeterminacy into Fuzzy theory; Mendel uses Type-2 Fuzzy Logic and Kandasamy uses Neutrosophic structures. ...doi:10.1109/nafips.2009.5156434 fatcat:zcmjgiisiraudpummyvlm4yk7a
« Previous Showing results 1 — 15 out of 1,702 results