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King, S. R. B., & Gurnell, J. (2002). Behavioural ecology of Przewalski horses (Equus przewalskii) reintroduced to Hustai National Park, Mongolia. Ph.D. thesis, , .
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Call J. (2004). Inferences about the location of food in the great apes (Pan paniscus, Pan troglodytes, Gorilla gorilla, and Pongo pygmaeus). J. Comp. Psychol., 118(2), 232.
Abstract: Bonobos (Pan paniscus; n = 4), chimpanzees (Pan troglodytes; n = 12), gorillas (Gorilla gorilla; n = 8), and orangutans (Pongo pygmaeus; n = 6) were presented with 2 cups (1 baited) and given visual or auditory information about their contents. Visual information consisted of letting subjects look inside the cups. Auditory information consisted of shaking the cup so that the baited cup produced a rattling sound. Subjects correctly selected the baited cup both when they saw or heard the food. Nine individuals were above chance in both visual and auditory conditions. More important, subjects as a group selected the baited cup when only the empty cup was either shown or shaken, which means that subjects chose correctly without having seen or heard the food (i.e., inference by exclusion). Control tests showed that subjects were not more attracted to noisy cups, avoided shaken noiseless cups, or learned to use auditory information as a cue during the study. It is concluded that subjects understood that the food caused the noise, not simply that the noise was associated with the food. (PsycINFO Database Record (c) 2010 APA, all rights reserved)
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Custance, D., Whiten, A., Sambrook, T., & Galdikas, B. (2001). Testing for social learning in the “artificial fruit” processing of wildborn orangutans (Pongo pygmaeus), Tanjung Puting, Indonesia. Anim. Cogn., 4(3), 305–313.
Abstract: Social learning about actions, objects and sequencing was investigated in a group of 14 wildborn orangutans (four adult females and ten 3- to 5-year-old juveniles). Human models showed alternative methods and sequences for dismantling an artificial fruit to groups of participants matched by gender and age. Each participant received three to six 2-min trials in which they were given access to the artificial fruit for manipulation. Independent coders, who were unaware of which method each participant had seen, gave confidence ratings and collected action frequencies from watching video recordings of the experimental trials. No significant differences were found between groups in terms of the coders' confidence ratings, the action frequencies or the sequence of manipulations. These negative results may at least partly reflect the immaturity of a large proportion of the participants. A positive correlation was found between age and the degree of matching to the method shown. Although none of the juveniles succeeded in opening the “fruit”, two out of the four adults did so and they also seemed to match more closely the sequence of elements touched over successive trials. The results are compared with similar data previously collected from human children, chimpanzees, gorillas, capuchin monkeys and common marmosets.
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Reader, S. M. (2003). Innovation and social learning: individual variation and brain evolution. Anim. Biol. Leiden., 53(2), 147–158.
Abstract: This paper reviews behavioural, neurological and cognitive correlates of innovation at the individual, population and species level, focusing on birds and primates. Innovation, new or modified learned behaviour not previously found in the population, is the first stage in many instances of cultural transmission and may play an important role in the lives of animals with generalist or opportunistic lifestyles. Within-species, innovation is associated with low neophobia, high neophilia, and with high social learning propensities. Indices of innovatory propensities can be calculated for taxonomic groups by counting the frequency of reports of innovation in published literature. These innovation rate data provide a useful comparative measure for studies of behavioural flexibility and cognition. Innovation rate is positively correlated with the relative size of association areas in the brain, namely the hyperstriatum ventrale and neostriatum in birds, and the neocortex and striatum in primates. Innovation rate is also positively correlated with the reported variety of tool use, as well as interspecific differences in learning. Current evidence thus suggests similar patterns of cognitive evolution in primates and birds.
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Gardner, P. (1937). The responses of horses in a discrimination problem. J Comp Psychol, 23, 305–333.
Abstract: 62 horses were trained to obtain food from the one of three boxes which was covered with a black cloth. The position of the box varied from trial to trial in a random order. Learning was apparently in terms of vision, rather than smell. Many errors were due to the line of direction of the horse's movement as it entered the experimental situation. For all animals the learning curve dropped rapidly during the first few trials. There was slightly more rapid learning in younger horses than in older ones. No sex differences were apparent. Percherons made fewer errors than Belgians. Draft horses showed a slight superiority over military and farm horses. The statistical reliability of these differences is not reported. Good retention was evidenced after a period of several months. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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Hanggi, E. B. (1999). Categorization Learning in Horses (Equus caballus). J. Comp. Psychol., 113(3), 243–252.
Abstract: Categorization learning was investigated in 2 horses (Equus caballus). Both horses learned to select a 2-dimensional black stimulus with an open center instead of a filled stimulus in a 2-choice discrimination task. After a criterion of 10 out of 10 correct responses in a random series for 2 consecutive sessions was reached, 15 additional pairs of open-center versus filled stimuli were tested. Each was run to criterion and then incorporated into sessions of randomly mixed problems. Both horses solved the 1st problem by simple pattern discrimination and showed evidence of categorical processing for subsequent problems. New pairs were learned with few or no errors, and correct responses on novel trials were significantly above chance. These results suggest that the horses were making their selections on the basis of shared characteristics with the training stimuli and were using categorization skills in problem solving.
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McCall, C. A., Salters, M. A., & Simpson, S. M. (1993). Relationship between number of conditioning trials per training session and avoidance learning in horses. Appl. Anim. Behav. Sci., 36(4), 291–299.
Abstract: Sixteen horses were used to determine if number of trials given per training session (5, 10, 15 or 20) affected learning performance in an avoidance conditioning task. The horse had to move from one side of a test pen to the other during an auditory cue presentation to avoid aversive stimulation. A pen 8 mx3.6 m, divided into two equal sections by a 13-cm diameter plastic pipe lying on the ground, was used as the test pen. Painted plywood panels were fastened to the fence in half the pen to help horses distinguish visually between the two parts. A 10-s auditory cue was used as a signal for horses to move from one side of the test pen to the other. A 20-s intertrial interval was used. Training sessions were conducted every third day. Each trial was recorded as an avoidance (the horse completed the task during auditory cue presentation and avoided aversive stimulus) or an error (the horse received aversive stimulus). After completing ten consecutive avoidances (criterion), the horse was removed from the study. Numbers of training sessions, trials, avoidances and errors until reaching criterion were recorded for each horse. Horses varied greatly within these variables with ranges of 3-18 sessions, 37-121 trials, 20-68 avoidances and 17-53 errors to criterion. No differences were detected (P>0.05) in the number of conditioning trials per training session (treatment) for the mean number of trials, avoidances or errors to criterion. Number of training sessions to criterion differed (P<0.01) among treatments, indicating that an optimum number of learning trials per training session might exist. Mean sessions to criterion for horses receiving 5, 10, 15 and 20 trials per session were 15.1+/-1.3, 5.8+/-1.1, 5.3+/-1.1 and 4.6+/-1.1, respectively. Regression analysis indicated that 16.2 trials per training session would minimize number of sessions to criterion. Although it is widely assumed that learning efficiency in horses is decreased when intense activity is concentrated into a small number of sessions, these results indicate that moderate repetition of training activities is needed for efficient learning.
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Sueur, C., Jacobs, A., Amblard, F., Petit, O., & King, A. J. (2010). How can social network analysis improve the study of primate behavior? Am. J. Primatol., 73(8), 703–719.
Abstract: Abstract When living in a group, individuals have to make trade-offs, and compromise, in order to balance the advantages and disadvantages of group life. Strategies that enable individuals to achieve this typically affect inter-individual interactions resulting in nonrandom associations. Studying the patterns of this assortativity using social network analyses can allow us to explore how individual behavior influences what happens at the group, or population level. Understanding the consequences of these interactions at multiple scales may allow us to better understand the fitness implications for individuals. Social network analyses offer the tools to achieve this. This special issue aims to highlight the benefits of social network analysis for the study of primate behaviour, assessing it's suitability for analyzing individual social characteristics as well as group/population patterns. In this introduction to the special issue, we first introduce social network theory, then demonstrate with examples how social networks can influence individual and collective behaviors, and finally conclude with some outstanding questions for future primatological research. Am. J. Primatol. 73:703?719, 2011. ? 2011 Wiley-Liss, Inc.
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de Waal, F. B., & Tyack, P., (Eds.). (2003). Animal Social Complexity: Intelligence, Culture, and Individualized Societies. Cambridge, Massachusetts: Harvard University Press.
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Laland K.N. (2004). Social learning strategies. Learn. Behav., 32, 4–14.
Abstract: In most studies of social learning in animals, no attempt has been made to examine the nature of the strategy adopted by animals when they copy others. Researchers have expended considerable effort in exploring the psychological processes that underlie social learning and amassed extensive data banks recording purported social learning in the field, but the contexts under which animals copy others remain unexplored. Yet, theoretical models used to investigate the adaptive advantages of social learning lead to the conclusion that social learning cannot be indiscriminate and that individuals should adopt strategies that dictate the circumstances under which they copy others and from whom they learn. In this article, I discuss a number of possible strategies that are predicted by theoretical analyses, including copy when uncertain, copy the majority, and copy if better, and consider the empirical evidence in support of each, drawing from both the animal and human social learning literature. Reliance on social learning strategies may be organized hierarchically, their being employed by animals when unlearned and asocially learned strategies prove ineffective but before animals take recourse in innovation.
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