Concordance

Query P84-1064 29 >
Sort Node 29 (1,352.0 per million)

tech,9-10-P84-1064,bq	<term> Syllogistic reasoning with dispositions </term> has an important bearing on <term> commonsense reasoning </term> as well as on the <term> management of uncertainty </term> in <term> expert systems </term> .	#13693 Syllogistic reasoning with dispositions has an important bearing oncommonsense reasoning as well as on the management of uncertainty in expert systems.
other,34-11-P84-1064,bq	As a simple application of the techniques described in this paper , we formulate a definition of <term> typicality </term> -- a concept which plays an important role in <term> human cognition </term> and is of relevance to <term> default reasoning </term> .	#13741 As a simple application of the techniques described in this paper, we formulate a definition of typicality -- a concept which plays an important role in human cognition and is of relevance todefault reasoning.
other,3-1-P84-1064,bq	Informally , a <term> disposition </term> is a <term> proposition </term> which is preponderantly , but no necessarily always , true .	#13457 Informally, adisposition is a proposition which is preponderantly, but no necessarily always, true.
other,8-2-P84-1064,bq	For example , birds can fly is a <term> disposition </term> , as are the <term> propositions </term> Swedes are blond and Spaniards are dark .	#13480 For example, birds can fly is adisposition, as are the propositions Swedes are blond and Spaniards are dark.
other,13-3-P84-1064,bq	An idea which underlies the theory described in this paper is that a <term> disposition </term> may be viewed as a <term> proposition </term> with implicit <term> fuzzy quantifiers </term> which are approximations to all and always , e.g. , almost all , almost always , most , frequently , etc .	#13507 An idea which underlies the theory described in this paper is that adisposition may be viewed as a proposition with implicit fuzzy quantifiers which are approximations to all and always, e.g., almost all, almost always, most, frequently, etc.
other,5-6-P84-1064,bq	The process of transforming a <term> disposition </term> into a <term> proposition </term> is referred to as <term> explicitation </term> or <term> restoration </term> .	#13590 The process of transforming adisposition into a proposition is referred to as explicitation or restoration.
tech,20-10-P84-1064,bq	<term> Syllogistic reasoning with dispositions </term> has an important bearing on <term> commonsense reasoning </term> as well as on the <term> management of uncertainty </term> in <term> expert systems </term> .	#13704 Syllogistic reasoning with dispositions has an important bearing on commonsense reasoning as well as on the management of uncertainty inexpert systems.
other,13-6-P84-1064,bq	The process of transforming a <term> disposition </term> into a <term> proposition </term> is referred to as <term> explicitation </term> or <term> restoration </term> .	#13598 The process of transforming a disposition into a proposition is referred to asexplicitation or restoration.
other,0-7-P84-1064,bq	The process of transforming a <term> disposition </term> into a <term> proposition </term> is referred to as <term> explicitation </term> or <term> restoration </term> . <term> Explicitation </term> sets the stage for representing the <term> meaning </term> of a <term> proposition </term> through the use of <term> test-score semantics </term> ( Zadeh , 1978 , 1982 ) .	#13602 The process of transforming a disposition into a proposition is referred to as explicitation or restoration.Explicitation sets the stage for representing the meaning of a proposition through the use of test-score semantics (Zadeh, 1978, 1982).
other,15-4-P84-1064,bq	For example , birds can fly may be interpreted as the result of suppressing the <term> fuzzy quantifier </term> most in the <term> proposition </term> most birds can fly .	#13555 For example, birds can fly may be interpreted as the result of suppressing thefuzzy quantifier most in the proposition most birds can fly.
other,22-3-P84-1064,bq	An idea which underlies the theory described in this paper is that a <term> disposition </term> may be viewed as a <term> proposition </term> with implicit <term> fuzzy quantifiers </term> which are approximations to all and always , e.g. , almost all , almost always , most , frequently , etc .	#13516 An idea which underlies the theory described in this paper is that a disposition may be viewed as a proposition with implicitfuzzy quantifiers which are approximations to all and always, e.g., almost all, almost always, most, frequently, etc.
other,21-9-P84-1064,bq	The paper closes with a description of an approach to <term> reasoning with dispositions </term> which is based on the concept of a <term> fuzzy syllogism </term> .	#13681 The paper closes with a description of an approach to reasoning with dispositions which is based on the concept of afuzzy syllogism.
other,27-11-P84-1064,bq	As a simple application of the techniques described in this paper , we formulate a definition of <term> typicality </term> -- a concept which plays an important role in <term> human cognition </term> and is of relevance to <term> default reasoning </term> .	#13734 As a simple application of the techniques described in this paper, we formulate a definition of typicality -- a concept which plays an important role inhuman cognition and is of relevance to default reasoning.
tech,16-10-P84-1064,bq	<term> Syllogistic reasoning with dispositions </term> has an important bearing on <term> commonsense reasoning </term> as well as on the <term> management of uncertainty </term> in <term> expert systems </term> .	#13700 Syllogistic reasoning with dispositions has an important bearing on commonsense reasoning as well as on themanagement of uncertainty in expert systems.
other,7-7-P84-1064,bq	<term> Explicitation </term> sets the stage for representing the <term> meaning </term> of a <term> proposition </term> through the use of <term> test-score semantics </term> ( Zadeh , 1978 , 1982 ) .	#13609 Explicitation sets the stage for representing themeaning of a proposition through the use of test-score semantics (Zadeh, 1978, 1982).
other,7-8-P84-1064,bq	In this approach to <term> semantics </term> , the <term> meaning </term> of a <term> proposition </term> , p , is represented as a procedure which tests , scores and aggregates the elastic constraints which are induced by p.	#13634 In this approach to semantics, themeaning of a proposition, p, is represented as a procedure which tests, scores and aggregates the elastic constraints which are induced by p.
other,6-1-P84-1064,bq	Informally , a <term> disposition </term> is a <term> proposition </term> which is preponderantly , but no necessarily always , true .	#13460 Informally, a disposition is aproposition which is preponderantly, but no necessarily always, true.
other,19-3-P84-1064,bq	An idea which underlies the theory described in this paper is that a <term> disposition </term> may be viewed as a <term> proposition </term> with implicit <term> fuzzy quantifiers </term> which are approximations to all and always , e.g. , almost all , almost always , most , frequently , etc .	#13513 An idea which underlies the theory described in this paper is that a disposition may be viewed as aproposition with implicit fuzzy quantifiers which are approximations to all and always, e.g., almost all, almost always, most, frequently, etc.
other,20-4-P84-1064,bq	For example , birds can fly may be interpreted as the result of suppressing the <term> fuzzy quantifier </term> most in the <term> proposition </term> most birds can fly .	#13560 For example, birds can fly may be interpreted as the result of suppressing the fuzzy quantifier most in theproposition most birds can fly.
other,8-6-P84-1064,bq	The process of transforming a <term> disposition </term> into a <term> proposition </term> is referred to as <term> explicitation </term> or <term> restoration </term> .	#13593 The process of transforming a disposition into aproposition is referred to as explicitation or restoration.


	in Help