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White, D. J., & Galef Jr, B. G. (1999). Mate choice copying and conspecific cueing in Japanese quail,Coturnix coturnix japonica. Anim. Behav., 57(2), 465–473.
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Seralini G.-E., & Moslemi S. (2001). Aromatase inhibitors: past, present and future. Molecular and Cellular Endocrinology, 178, 117–131.
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Langbein, J., Nurnberg, G., Puppe, B., & Manteuffel, G. (2006). Self-Controlled Visual Discrimination Learning of Group-Housed Dwarf Goats (Capra hircus): Behavioral Strategies and Effects of Relocation on Learning and Memory. J. Comp. Psychol., 120(1), 58–66.
Abstract: In most studies on animal learning, individual animals are tested separately in a specific learning environment and with a limited number of trials per day. An alternative approach is to test animals in a familiar environment in their social group. In this study, the authors--applying a fully automated learning device--investigated voluntary, self-controlled visual shape discrimination learning of group-housed dwarf goats (Capra hircus). The majority of the tested goats showed successful shape discrimination, which indicates the adaptive value of an effective learning strategy. However, in each group, a few individual goats developed behavioral strategies different from shape discrimination to get reward. Relocation impairs memory retrieval (probably by attention shifting) only temporarily for previously learnt shapes. The results demonstrate the usefulness of a self-controlled learning paradigm to assess learning abilities of social species in their normal social settings. This may be especially relevant for captive animals to improve their welfare.
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Ernst, K., Puppe, B., Schon, P. C., & Manteuffel, G. (2005). A complex automatic feeding system for pigs aimed to induce successful behavioural coping by cognitive adaptation. Appl. Anim. Behav. Sci., 91(3-4), 205–218.
Abstract: In modern intensive husbandry systems there is an increasing tendency for animals to interact with technical equipment. If the animal-technology interface is well-designed this may improve animal welfare by offering challenges for cognitive adaptation. Here a system and its application is presented that acoustically calls individual pigs out of a group (n = 8) to a feeding station. In three different learning phases, the computer-controlled “call-feeding-station” (CFS) trained the animals to recognize a specific acoustic signal as a summons for food, using a combination of classical and operant conditioning techniques. The experimental group's stall contained four CFSs, at each of which one animal at a time was able to feed. When an animal had learned to discriminate and recognize its individual acoustic signal it had to localize the particular CFS that was calling and to enter inside it. Then, it received a portion of feed, the amount of which was adapted to the respective age of the animals. Each animal was called at several, unpredictable times each day and the computer programme ensured that the total feed supply was sufficient for each animal. In the last phase of the experiment the animals, in addition, had to press a button with an increasing fixed ratio for the delivery of feed. It was demonstrated that the pigs were able to adapt quickly to the CFSs. Although they were challenged over 12 h daily by requirements of attention, sensory localization and motor efforts to gain comparatively low amounts of feed, they performed well and reached fairly constant success rates between 90 and 95% and short delays between 14 and 16 s between a summons and the food release in the last phase of the experiment. The weight gain during the experiment was the same as in a conventionally fed control group (n = 8). We therefore conclude that CFSs present a positive challenge to the animals with no negative effects on performance but with a potentially beneficial role for welfare and against boredom. The system is also a suitable experimental platform for research on the effects of successful adaptation by rewarded cognitive processes in pigs.
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Bracke, M. B. M., Spruijt, B. M., Metz, J. H. M., & Schouten, W. G. P. (2002). Decision support system for overall welfare assessment in pregnant sows A: Model structure and weighting procedure. J. Anim Sci., 80(7), 1819–1834.
Abstract: The problem of how to objectively assess the overall welfare status of animals under farming conditions has contributed to an ongoing debate that has hampered actual decision making on animal welfare. For this reason we constructed a model based on the assumed hierarchical organization of the animals' needs for overall welfare assessment in the case of pregnant sows. This model is implemented in a computer-based decision support system that takes a description of a housing and management system as input and produces a welfare score as output. A formalized procedure was used to construct the model for welfare assessment in pregnant sows on the basis of available scientific knowledge. This SOWEL (from SOw WELfare) model contains 37 attributes that describe the welfare-relevant properties of housing and management systems. In the decision support system these attributes are linked to scientific statements and a list of needs to provide a scientific basis for welfare assessment. Weighting factors that represent the relative importance of the attributes are derived from the scientific statements about the various welfare performance criteria that have been measured by scientists. The welfare score is calculated as the weighted average score. All information in the decision support system is stored in tables in a relational database such that newly available knowledge and insights can be incorporated to refine the model. The model has been developed in line with several existing models but it differs from these models in that it is the first to provide a formalized procedure to explicate the reasoning steps involved in welfare assessment based on available scientific knowledge. N1 -
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Honeyman, M. S., & Miller, G. S. (1998). The effect of teaching approaches on achievement and satisfaction of field-dependent and field-independent learners in animal science. J. Anim Sci., 76(6), 1710–1715.
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Beer, C. G. (1998). Varying Views of Animal and Human Cognition. In Russell P. Balda, Irene M. Pepperberg, & Alan C. Kamil (Eds.), Animal Cognition in Nature (pp. 435–456). London: Academic Press.
Abstract: Summary In this chapter I want to stand back from the splendid empirical work on animal cognitive capacities that is the focus of this book, and look at the broader context of cognitive concerns within which the work can be viewed. Indeed even the term `cognitive ethology' currently connotes and denotes more than is represented here, as other collections of articles, such as and , exemplify. I include the current descendants of behavioristic learning theory, evolutionary epistemology, evolutionary psychology and the recent comparative turn that has been taken in cognitive science. These several approaches, despite their considerable overlap, often appear independent and even ignorant of one another. Like the proverbial blind men feeling the hide of an elephant, they touch hands from time to time, yet collectively have only a piecemeal and distributed understanding of the shape of the whole. Although each approach may indeed need the space to work out its own conceptual and methodological preoccupations without confounding interference from other views, a utopian spirit envisages an ultimate coming together, a more comprehensive realization of the synthetic approach to animal cognition that is this book's theme.
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Walter, G., & Reisner, A. (1994). Student opinion formation on animal agriculture issues. J. Anim Sci., 72(6), 1654–1658.
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Gopnik A, G. P. (1988). Knowing how you know: young children's ability to identify and remember the sources of their beliefs. Child Dev., 59, 1366.
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Cook, R. G., Shaw, R., & Blaisdell, A. P. (2001). Dynamic object perception by pigeons: discrimination of action in video presentations. Anim. Cogn., 4(3), 137–146.
Abstract: Two experiments examined the discrimination by pigeons of relative motion using computer-generated video stimuli. Using a go/no-go procedure, pigeons were tested with video stimuli in which the camera's perspective went either “around” or “through” an approaching object in a semi-realistic context. Experiment 1 found that pigeons could learn this discrimination and transfer it to videos composed from novel objects. Experiment 2 found that the order of the video's frames was critical to the discrimination of the videos. We hypothesize that the pigeons perceived a three-dimensional representation of the objects and the camera's relative motion and used this as the primary basis for discrimination. It is proposed that the pigeons might be able to form generalized natural categories for the different kinds of motions portrayed in the videos.
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