A connectionist model of argument strength that applies to categorical arguments involving natural categories and predicates about which subjects have few prior beliefs is proposed. An example is robins have sesamoid bones, therefore falcons have sesamoid bones. The model is based on the hypothesis that argument strength is related to the proportion of the conclusion category's features that are shared by the premise categories. The model assumes a two-stage process. First, premises are encoded by connecting the features of premise categories to the predicate. Second, conclusions are tested by examining the degree of activation of the predicate upon presentation of the features of the conclusion category. The model accounts for 13 qualitati...
Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that ...
One important property of human object categories is that they define the sets of exemplars to which...
Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that ...
Category-based induction involves the willingness of a thinker to project some newly learned propert...
Different kinds of knowledge are relevant in different inductive contexts. Previous models of catego...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Both intuitively and according to similarity-based theories of induction, relevant evidence raises a...
The predicate-argument approach, focused on perception, is compared with the ease-of-predication (or...
This paper presents a method of extracting argumentative structure from natural language text. The a...
Judging the strength of an argument may underlie many reasoning and decision-making tasks. In this a...
For psychologists, the problem of induction has to do with distinguishing between generalizations pe...
Category-based induction is an inferential mechanism that uses knowledge of conceptual relations in ...
Prediction is arguably the most fundamental problem that peo-ple face. Having discovered that some o...
This paper examines the motivation for argument movement within Minimalist syntactic theory. We argu...
Humans routinely make inductive generalizations about unobserved features of objects. Previous accou...
Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that ...
One important property of human object categories is that they define the sets of exemplars to which...
Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that ...
Category-based induction involves the willingness of a thinker to project some newly learned propert...
Different kinds of knowledge are relevant in different inductive contexts. Previous models of catego...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Both intuitively and according to similarity-based theories of induction, relevant evidence raises a...
The predicate-argument approach, focused on perception, is compared with the ease-of-predication (or...
This paper presents a method of extracting argumentative structure from natural language text. The a...
Judging the strength of an argument may underlie many reasoning and decision-making tasks. In this a...
For psychologists, the problem of induction has to do with distinguishing between generalizations pe...
Category-based induction is an inferential mechanism that uses knowledge of conceptual relations in ...
Prediction is arguably the most fundamental problem that peo-ple face. Having discovered that some o...
This paper examines the motivation for argument movement within Minimalist syntactic theory. We argu...
Humans routinely make inductive generalizations about unobserved features of objects. Previous accou...
Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that ...
One important property of human object categories is that they define the sets of exemplars to which...
Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that ...