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Wolff, A.; Hausberger, M. |
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Title |
Behaviour of foals before weaning may have some genetic basis |
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Journal Article |
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1994 |
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Ethology |
Abbreviated Journal |
Ethology |
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96 |
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1 |
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1-10 |
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Locomotion; Suckling; Social behavior; Foraging behavior; Exploratory behavior; Interindividual comparison; Young animal; Genetic inheritance; Captivity; Social interaction; Feeding behavior; Perissodactyla; Ungulata; Mammalia; Vertebrata |
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In this preliminary study on foal behaviour, 13 French saddlebred foals (2-3 mo old) and their dams were observed on pasture. The most important findings are the interindividual quantitative differences in foal behaviour patterns as well as in the amount of mainly foal-initiated time spent at given distances from their mares. Interindividual differences seem in part due to a sire effect |
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Equine Behaviour @ team @ |
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5022 |
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Author |
Zentall, T.R. |
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Title |
A cognitive behaviorist approach to the study of animal behavior |
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Journal Article |
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Year |
2002 |
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The Journal of general psychology |
Abbreviated Journal |
J Gen Psychol |
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129 |
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4 |
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328-363 |
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Animals; *Attention; *Behavior, Animal; *Cognition; Learning; *Memory; Social Behavior |
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Traditional psychological approaches to animal learning and behavior have involved either the atheoretical behaviorist approach proposed by B. F. Skinner (1938), in which input-output relations are described in response to environmental manipulations, or the theoretical behaviorist approach offered by C. L Hull (1943), in which associations mediated by several hypothetical constructs and intervening variables are formed between stimuli and responses. Recently, the application of a cognitive behaviorist approach to animal learning and behavior has been found to have considerable value as a research tool. This perspective has grown out of E. C. Tolman's cognitive approach to learning in which behavior is mediated by mechanisms that are not directly observable but can be inferred from the results of critical experiments. In the present article, the author presents several examples of the successful application of the cognitive behaviorist approach. In each case, the experiments have been designed to distinguish between more traditional mechanisms and those mediated by hypothesized internal representations. These examples were selected because the evidence suggests that some form of active cognitive organization is needed to account for the behavioral results. |
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Department of Psychology, University of Kentucky, Lexington 40506, USA. Zentall@uky.edu |
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0022-1309 |
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PMID:12494989 |
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refbase @ user @ |
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214 |
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Zhou, W.-X.; Sornette, D.; Hill, R.A.; Dunbar, R.I.M. |
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Title |
Discrete hierarchical organization of social group sizes |
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Journal Article |
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2005 |
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Proceedings. Biological sciences / The Royal Society |
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Proc Biol Sci |
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272 |
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1561 |
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439-444 |
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Anthropology, Cultural; *Group Structure; Humans; *Models, Biological; *Social Behavior; *Social Environment |
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The 'social brain hypothesis' for the evolution of large brains in primates has led to evidence for the coevolution of neocortical size and social group sizes, suggesting that there is a cognitive constraint on group size that depends, in some way, on the volume of neural material available for processing and synthesizing information on social relationships. More recently, work on both human and non-human primates has suggested that social groups are often hierarchically structured. We combine data on human grouping patterns in a comprehensive and systematic study. Using fractal analysis, we identify, with high statistical confidence, a discrete hierarchy of group sizes with a preferred scaling ratio close to three: rather than a single or a continuous spectrum of group sizes, humans spontaneously form groups of preferred sizes organized in a geometrical series approximating 3-5, 9-15, 30-45, etc. Such discrete scale invariance could be related to that identified in signatures of herding behaviour in financial markets and might reflect a hierarchical processing of social nearness by human brains. |
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State Key Laboratory of Chemical Reaction Engineering, East China University of Science and Technology, Shanghai 200237, China |
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0962-8452 |
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PMID:15734699 |
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refbase @ user @ |
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549 |
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