Inductive inferences about objects, properties, categories, re-lations, and labels have been studied for many years but there are few attempts to chart the range of inductive problems that humans are able to solve. We present a taxonomy that includes more than thirty inductive problems. The taxonomy helps to clarify the relationships between familiar problems such as identification, stimulus generalization, and categorization, and introduces several novel problems including property identifi-cation and object discovery
Inductive generalization asserts that what obtains in known instances can be generalized to all. Its...
Two experiments were performed to study inductive reasoning as a set of thought processes that opera...
. The problem of practically feasible inductive inference of functions or other objects that can be ...
inductive inferences about objects, properties, categories, relations, and labels have been studied ...
Inductive inferences about objects, features, categories, and relations have been studied for many y...
Abstract Inductive inferences about objects, features, catego-ries, and relations have been studied ...
This paper considers a family of inductive problems where reasoners must identify familiar categorie...
This paper considers a family of inductive problems where reasoners must identify familiar categorie...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Humans routinely make inductive generalizations about unobserved features of objects. Previous accou...
Klauer and Phye’s Cognitive Training for Children (Cognitive training for children: a developmental ...
. We address a learning problem with the following peculiarity : we search for characteristic featur...
<p>Humans routinely make inductive generalizations about unobserved features of objects. Previous ac...
We present an analysis of the inductive reasoning of twelve Spanish secondary students in a mathemat...
Inductive learning is an approach to machine learning in which concepts are learned from examples an...
Inductive generalization asserts that what obtains in known instances can be generalized to all. Its...
Two experiments were performed to study inductive reasoning as a set of thought processes that opera...
. The problem of practically feasible inductive inference of functions or other objects that can be ...
inductive inferences about objects, properties, categories, relations, and labels have been studied ...
Inductive inferences about objects, features, categories, and relations have been studied for many y...
Abstract Inductive inferences about objects, features, catego-ries, and relations have been studied ...
This paper considers a family of inductive problems where reasoners must identify familiar categorie...
This paper considers a family of inductive problems where reasoners must identify familiar categorie...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Humans routinely make inductive generalizations about unobserved features of objects. Previous accou...
Klauer and Phye’s Cognitive Training for Children (Cognitive training for children: a developmental ...
. We address a learning problem with the following peculiarity : we search for characteristic featur...
<p>Humans routinely make inductive generalizations about unobserved features of objects. Previous ac...
We present an analysis of the inductive reasoning of twelve Spanish secondary students in a mathemat...
Inductive learning is an approach to machine learning in which concepts are learned from examples an...
Inductive generalization asserts that what obtains in known instances can be generalized to all. Its...
Two experiments were performed to study inductive reasoning as a set of thought processes that opera...
. The problem of practically feasible inductive inference of functions or other objects that can be ...