Even if we don’t like it, we often face counterexamples to the inferences we have made or would like to make. With the exception of the SimProb model (Blok, Medin & Osherson, 2007), models of inductions to date have predominantly focused on the relevance of positive evidence to the inference process. Here we provide data from single and double premise arguments in a category-based property induction task using positive and negative evidence. A simple similarity model, the Similarity-Coverage model (Osherson et al., 1990) and the SimProb model are tested on negative and mixed evidence arguments.status: publishe
Category-based feature generalisations are affected by similarity relationships between objects and ...
Disputants in the debate regarding whether Hume's argument on induction is descriptive or normative ...
Category-based feature generalisations are affected by similarity relationships between objects and ...
Even if we don’t like it, we often face counterexamples to the inferences we have made or would like...
Both intuitively, and according to similarity-based theories of induction, relevant evidence raises ...
Data and scripts associated with this article can be found on Open Science Framework: osf.io/wgqmr.A...
For psychologists, the problem of induction has to do with distinguishing between generalizations pe...
Category-based induction involves the willingness of a thinker to project some newly learned propert...
Inductive inference of a language L from negative data is the one based only on words not in L. In o...
We have developed a computational model of inductive reasoning that includes both positive and negat...
rization, induction, recognition, and similarity in children as well as adults and proposed a new mo...
The scalar approach to negative polarity item (NPI) licensing assumes that NPIs are allowable ...
AbstractHartzband [1] and Hartzband and Maryanski [2] have proposed that the foundation of knowledge...
V. M. Sloutsky and A. V. Fisher (2004) reported 5 experiments documenting relations among categoriza...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Category-based feature generalisations are affected by similarity relationships between objects and ...
Disputants in the debate regarding whether Hume's argument on induction is descriptive or normative ...
Category-based feature generalisations are affected by similarity relationships between objects and ...
Even if we don’t like it, we often face counterexamples to the inferences we have made or would like...
Both intuitively, and according to similarity-based theories of induction, relevant evidence raises ...
Data and scripts associated with this article can be found on Open Science Framework: osf.io/wgqmr.A...
For psychologists, the problem of induction has to do with distinguishing between generalizations pe...
Category-based induction involves the willingness of a thinker to project some newly learned propert...
Inductive inference of a language L from negative data is the one based only on words not in L. In o...
We have developed a computational model of inductive reasoning that includes both positive and negat...
rization, induction, recognition, and similarity in children as well as adults and proposed a new mo...
The scalar approach to negative polarity item (NPI) licensing assumes that NPIs are allowable ...
AbstractHartzband [1] and Hartzband and Maryanski [2] have proposed that the foundation of knowledge...
V. M. Sloutsky and A. V. Fisher (2004) reported 5 experiments documenting relations among categoriza...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Category-based feature generalisations are affected by similarity relationships between objects and ...
Disputants in the debate regarding whether Hume's argument on induction is descriptive or normative ...
Category-based feature generalisations are affected by similarity relationships between objects and ...