Categorization by Humans and Machines: Advances in Research and TheoryAcademic Press, 22 oct. 1993 - 552 pages The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology. |
Table des matières
| 1 | |
| 13 | |
DATADRIVEN AND THEORYDRIVEN PROCESSING AND PROCESSING MODELS | 187 |
CONCEPTS CATEGORY BOUNDARIES AND CONCEPTUAL COMBINATION | 361 |
| 535 | |
Contents of Recent Volumes | 549 |
Autres éditions - Tout afficher
Categorization by Humans and Machines: Advances in Research and Theory Glenn V. Nakamura,Douglas L. Medin,Roman Taraban Aucun aperçu disponible - 1993 |
Expressions et termes fréquents
abstract ALCOVE Anderson animacy artificial intelligence atomic number back propagation background knowledge behavior biological Cambridge category learning category membership causal classification clinical clinician Cognitive Psychology Cognitive Science combinations common concept formation concept learning connectionist constraints context Context theory core correct cue validity delta rule diagnostic dimensions domain theory dominance hierarchy Erlbaum example exemplar model experiment Experimental Psychology explanation-based Fisher function Gluck gold hidden nodes Hillsdale human induction inference input instances Journal of Experimental Kruschke label learner machine learning MacWhinney Medin memory Mervis Murphy nonexpert Nosofsky noun objects ORCA overall validity particular pattern physical kind predictions present problem problem-solving prototype questions ratings rational model relevant representation role Rosch rule rule induction Rumelhart schema shape bias similarity specific specification-condition stimuli structure subjects symptoms task thematic roles tion true true types typical weights woodwind instruments