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Author |
Gabor, V.; Gerken, M. |
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Title |
Cognitive testing in Shetland ponies (Equus caballus) using a computer based learning device |
Type |
Conference Article |
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Year |
2012 |
Publication |
Proceedings of the 2. International Equine Science Meeting |
Abbreviated Journal |
Proc. 2. Int. Equine. Sci. Mtg |
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Volume |
in press |
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Pages |
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Keywords |
Shetland ponies, Cognitive abilities, Concept learning, Concept of sameness |
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Abstract |
Complex housing environments such as group housing with automatic feeding or the close contact to humans in sports make high demands on the learning ability of the horse. These learning processes include not only habituation, sensitization and simpler forms of operant conditioning, but also stimulus generalization and possibly some type of concept learning. Studies concerning cognitive abilities in the horse increased in the last decades, but for optimizing housing conditions and horse training, deeper insight into the learning behaviour of this species is necessary. In the present study we used the advantages of a computer based learning device to train 7 Shetland ponies to solve a matching to sample task. With this more complex type of a discrimination task, animals are trained to recognize two out of three presented stimuli as identical. In a first step animals learned to operate the learning device and in further learning steps to recognize and assign geometric symbols (dot, cross, square, and triangle) presented on a LCD screen that were ‘equal’. Four of the 7 ponies could solve the given task by performing over 80% correct responses in two consecutive sessions (p < 0.001). In the subsequent transfer test with new symbols, we found that the ponies were able to transfer the learned rule. In further experiments it should be clarified whether the good learning performance of the ponies in the present study is indeed based on their capability to form an abstract concept of sameness. The present results indicate that ponies possibly posses higher cognitive abilities than so far known. |
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Corporate Author |
Gabor, V. |
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Publisher |
Xenophon Publishing |
Place of Publication |
Wald |
Editor |
Krueger, K. |
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978-3-9808134-26 |
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no |
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Call Number |
Equine Behaviour @ team @ |
Serial |
5537 |
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Author |
Gabor, V.; Gerken, M. |
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Title |
Horses use procedural learning rather than conceptual learning to solve matching to sample |
Type |
Journal Article |
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Year |
2010 |
Publication |
Applied Animal Behaviour Science |
Abbreviated Journal |
Appl. Anim. Behav. Sci. |
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Volume |
126 |
Issue |
3-4 |
Pages |
119-124 |
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Keywords |
Horses; Concept learning; Visual discrimination; Cognition; Experimental design; Procedural learning |
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Abstract |
Research into higher cognitive abilities of the horse may be limited by developing the adequate experimental design. In this study four pony mares between 8 and 19 years old were included. Three of them reached the criterion to be tested in a new design of matching to sample using a black circle and a cross as visual cues attached to an apparatus. The attention was directed to the question of whether the animals are able to concept formation in a given time period or if their decisions depend on other cues or strategies. After familiarization to the testing area and the test procedure, the animals were given 27 sessions of 20 trials each during 14 weeks. While there was no preference for one of the stimuli used, horses showed a significant left sidedness. None of the mares reached the learning criterion of 80% correct answers in one session. However, the ponies showed procedural learning based on correction runs that were given between incorrect decisions, by then selecting the correct stimulus on the other side of the apparatus. This learning type arose in three individuals in session four, six and eleven, respectively. It is concluded that discrimination tasks may be biased by the involvement of unexpected learning strategies, which complicates the interpretation of such tests and may even mask possible conceptualization capabilities. |
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ISSN |
0168-1591 |
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Call Number |
Equine Behaviour @ team @ |
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5157 |
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