The IDP System - Lirias
... One of the long term research goals of the Knowledge Representation and Reasoning group at the K.U. Leuven is to build a knowledge base system (KBS) [4]. In such a system, knowledge about a domain of discourse is stored using a suitable logic. Next, different tasks are solved by applying various inf ...
... One of the long term research goals of the Knowledge Representation and Reasoning group at the K.U. Leuven is to build a knowledge base system (KBS) [4]. In such a system, knowledge about a domain of discourse is stored using a suitable logic. Next, different tasks are solved by applying various inf ...
Lecture 16 Notes
... as a contrast to the Gödel completeness result for classical FOL. The folklore has it that Gödel’s result cannot be constructive.1 We will not explore Kripke models and the important result of Vim Veldman that iFOL is complete with respect to “exploding” Kripke models. His proof is constructive. A ...
... as a contrast to the Gödel completeness result for classical FOL. The folklore has it that Gödel’s result cannot be constructive.1 We will not explore Kripke models and the important result of Vim Veldman that iFOL is complete with respect to “exploding” Kripke models. His proof is constructive. A ...
Introduction to Neuro-fuzzy and Soft computing
... uncertainty and imprecision” [Lotfi A. Zadeh, 1992] SC consists of several computing paradigms including: NN Fuzzy set theory Approximate reasoning Derivative-free optimization methods such as genetic algorithms (GA) & simulated annealing (SA) ...
... uncertainty and imprecision” [Lotfi A. Zadeh, 1992] SC consists of several computing paradigms including: NN Fuzzy set theory Approximate reasoning Derivative-free optimization methods such as genetic algorithms (GA) & simulated annealing (SA) ...
INTELLIGENT SYSTEMS creates it own unique game development
... placed in the same real world problem solving situation as the human SME, typically as an aid to human workers or a supplement to some information system. As a premiere application of computing and artificial intelligence, the topic of expert systems has many points of contact with general systems t ...
... placed in the same real world problem solving situation as the human SME, typically as an aid to human workers or a supplement to some information system. As a premiere application of computing and artificial intelligence, the topic of expert systems has many points of contact with general systems t ...
ICAISC 2004 Preliminary Program
... The importance of the papers is not related to the form of the presentation. Overhead and computer projectors will be available on all oral sessions. Posters should be prepared with the use of big fonts and figures and should not exceed 1m x 1,2m area (A0 or A1 paper size, portrait orientation). Ple ...
... The importance of the papers is not related to the form of the presentation. Overhead and computer projectors will be available on all oral sessions. Posters should be prepared with the use of big fonts and figures and should not exceed 1m x 1,2m area (A0 or A1 paper size, portrait orientation). Ple ...
On the Notion of Coherence in Fuzzy Answer Set Semantics
... Of course this is not the only generalization of consistency in the fuzzy framework. In several approaches is usual to find the following, and popular, generalization. Definition 6 Let ∗ be a t-norm and ∼ a negation operator. We say that an interpretation I : Lit → L on the set of literals is α-cons ...
... Of course this is not the only generalization of consistency in the fuzzy framework. In several approaches is usual to find the following, and popular, generalization. Definition 6 Let ∗ be a t-norm and ∼ a negation operator. We say that an interpretation I : Lit → L on the set of literals is α-cons ...
Lecture02_3337_2009
... frames are organized hierarchically allows the use of inheritance knowledge is usually organized according to cause and effect relationships slots can contain all kinds of items rules, facts, images, video, comments, debugging info, questions, hypotheses, other frames ...
... frames are organized hierarchically allows the use of inheritance knowledge is usually organized according to cause and effect relationships slots can contain all kinds of items rules, facts, images, video, comments, debugging info, questions, hypotheses, other frames ...
On Elkan`s theorems: Clarifying their meaning
... omitted from the first version of Elkan’s theorem. As to the rest of the assumptions, both t~A ∧ B! ⫽ min$t~A!, t~B!% and t~¬A! ⫽ 1 ⫺ t~A! are quite reasonable and, in fact, are often used in applications of fuzzy logic. Let us now concentrate on the last assumption, that is, on t~A! ⫽ t~B! if A and ...
... omitted from the first version of Elkan’s theorem. As to the rest of the assumptions, both t~A ∧ B! ⫽ min$t~A!, t~B!% and t~¬A! ⫽ 1 ⫺ t~A! are quite reasonable and, in fact, are often used in applications of fuzzy logic. Let us now concentrate on the last assumption, that is, on t~A! ⫽ t~B! if A and ...
Computational Intelligence in Data Mining
... models can be evaluated evaluated along the dimensions of predictive accuracy, novelty, utility, and understandability of the fitted model. Traditionally, algorithms to obtain classifiers have focused either on accuracy or interpretability. Recently some approaches to combining these properties have ...
... models can be evaluated evaluated along the dimensions of predictive accuracy, novelty, utility, and understandability of the fitted model. Traditionally, algorithms to obtain classifiers have focused either on accuracy or interpretability. Recently some approaches to combining these properties have ...
A Genetic Fuzzy Approach for Rule Extraction for Rule
... fitness function as well as the IT2FMs parameters. For the selected [ , ] parameter the genetic algorithm for learning rules were applied. The 10-fold cross-validation method was applied to evaluate the performance of the uncertain rule-based pattern classification system. In order to have a ro ...
... fitness function as well as the IT2FMs parameters. For the selected [ , ] parameter the genetic algorithm for learning rules were applied. The 10-fold cross-validation method was applied to evaluate the performance of the uncertain rule-based pattern classification system. In order to have a ro ...
SM-718: Artificial Intelligence and Neural Networks Credits: 4 (2-1-2)
... Lecture Introduction to artificial intelligence, History of AI, 2 production system, Problem solving: Characteristics of production systems, Study and comparison of breadth first search. other Search Techniques like hill Climbing, Best first 2 Search. A* algorithm. AO* algorithms. Knowledge and Reas ...
... Lecture Introduction to artificial intelligence, History of AI, 2 production system, Problem solving: Characteristics of production systems, Study and comparison of breadth first search. other Search Techniques like hill Climbing, Best first 2 Search. A* algorithm. AO* algorithms. Knowledge and Reas ...
Journal of Systems and Software:: A Fuzzy Neural Network for
... The main aim of this paper is to present an improved algorithm of T-S(Takagi-Sugeno) fuzzy neural network model, which can be applied into the speech recognition system. Fuzzy neural network (FNN) combined by neural network and fuzzy system, not only can mimic the human brain logic thinking, but als ...
... The main aim of this paper is to present an improved algorithm of T-S(Takagi-Sugeno) fuzzy neural network model, which can be applied into the speech recognition system. Fuzzy neural network (FNN) combined by neural network and fuzzy system, not only can mimic the human brain logic thinking, but als ...
comments on the logic of constructible falsity (strong negation)
... quantifications, there are two lemmas asserting the existence of appropriate saturated sets, which we state for the case of denumerable languages. Their proof is straightforward. First, where G is a set of formulas and E a formula of the same language not derivable from it, there is, for a language ...
... quantifications, there are two lemmas asserting the existence of appropriate saturated sets, which we state for the case of denumerable languages. Their proof is straightforward. First, where G is a set of formulas and E a formula of the same language not derivable from it, there is, for a language ...
Fuzzy logic
Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1. By contrast, in Boolean logic, the truth values of variables may only be 0 or 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Lotfi A. Zadeh. Fuzzy logic has been applied to many fields, from control theory to artificial intelligence. Fuzzy logic had however been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.