title: Why are artificial polymorphous concepts so hard for birds to learn?
abstract: Stimulus sets defined in terms of artificial polymorphous concepts have frequently been used in experiments to investigate the mechanisms of discrimination of natural concepts, both in humans and in other animals. However, such stimulus sets are frequently difficult for either animals or humans to discriminate. Properties of artificial polymorphous stimulus sets that might explain this difficulty include the complexity of the individual stimuli, the unreliable reinforcement of individual positive features, attentional load, difficulties in discriminating some stimulus dimensions, memory load, and a lack of the correlation between features that characterizes natural concepts. An experiment using chickens as subjects and complex artificial visual stimulus sets investigated these hypotheses by training the birds in discriminations that were not polymorphous but did have some of the properties listed above. Discriminations that involved unreliable reinforcement or high attentional load were found to approach the difficulty of polymorphous concept discriminations, and these two factors together were sufficient to account for the entire difficulty. The usual kind of artificial polymorphous concept may not be a good model for natural concepts as they are perceived and discriminated by birds. A RULEX account of natural concept learning may be preferable.
authors.affiliation: School of Psychology, University of Exeter, UK. s.e.g.lea@exeter.ac.uk
authors.forename: Stephen E G
authors.initials: SE
authors.lastname: Lea
authors.forename: A J
authors.initials: AJ
authors.lastname: Wills
authors.forename: Catriona M E
authors.initials: CM
authors.lastname: Ryan
mesh_terms: D000818:Animals; D001288:Attention; D002645:Chickens; D003118:Color Perception; D003210:Concept Formation; D004193:Discrimination Learning; D005260:Female; D008297:Male; D008570:Memory, Short-Term; D009949:Orientation; D010364:Pattern Recognition, Visual; D012055:Reinforcement Schedule; D013223:Statistics as Topic