Feature- versus rule-based generalization in rats, pigeons and humans

作者: Elisa Maes , Guido De Filippo , Angus B Inkster , Stephen E. G. Lea , Jan De Houwer

DOI: 10.1007/S10071-015-0895-8

关键词:

摘要: Humans can spontaneously create rules that allow them to efficiently generalize what they have learned novel situations. An enduring question is whether rule-based generalization uniquely human or other animals also abstract and apply In recent years, there been a number of high-profile claims such as rats learn rules. Most those are quite weak because it possible demonstrate simple associative systems (which do not rules) account for the behavior in tasks. Using procedure allows us clearly distinguish feature-based from (the Shanks–Darby procedure), we adult humans show this task, while pigeons was based on featural overlap between stimuli. brief, when learning stimulus made two components (“AB”) predicts different outcome than its elements (“A” “B”), people an opposites rule new stimuli (e.g., knowing “C” “D” predict one outcome, will “CD” opposite outcome). Rats reverse behavior—they learned, but basis similarity similar “D”, so same predicted compound components). Genuinely observed humans, pigeons, current procedure.

参考文章(69)
Jeffrey S. Katz, Kent D. Bodily, Anthony A. Wright, Learning strategies in matching to sample: if-then and configural learning by pigeons. Behavioural Processes. ,vol. 77, pp. 223- 230 ,(2008) , 10.1016/J.BEPROC.2007.10.011
Joël Fagot, Edward A. Wasserman, Michael E. Young, Discriminating the relation between relations: the role of entropy in abstract conceptualization by baboons (Papio papio) and humans (Homo sapiens). Journal of Experimental Psychology: Animal Behavior Processes. ,vol. 27, pp. 316- 328 ,(2001) , 10.1037/0097-7403.27.4.316
E. A. Wasserman, L. Castro, J. H. Freeman, Same–different categorization in rats Learning & Memory. ,vol. 19, pp. 142- 145 ,(2012) , 10.1101/LM.025437.111
A. Dickinson, N. J. Mackintosh, G. C. Preston, Contextual conditional discriminations Quarterly Journal of Experimental Psychology. ,vol. 38, pp. 217- 237 ,(2007) , 10.1080/14640748608402230
Néstor A. Schmajuk, Munir G. Kutlu, An Associative Approach to Additivity and Maximality Effects on Blocking IGI Global. pp. 57- 80 ,(2010) , 10.4018/978-1-60960-021-1.CH004
John P. Houston, Generalization and discrimination Fundamentals of Learning and Memory (Second Edition). pp. 234- 271 ,(1981) , 10.1016/B978-0-12-356830-4.50015-2
Fearghal O'Brien, Denis Cousineau, Representing Error bars in within-subject designs in typical software packages Tutorials in Quantitative Methods for Psychology. ,vol. 10, pp. 56- 67 ,(2014) , 10.20982/TQMP.10.1.P056
R Core Team, R: A language and environment for statistical computing. MSOR connections. ,vol. 1, ,(2014)
Edward L. Thorndike, Jelliffe, Animal Intelligence. Experimental Studies Journal of Nervous and Mental Disease. ,vol. 39, pp. 357- ,(1912) , 10.1097/00005053-191205000-00016