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Dyer, F. C. (2002). Animal behaviour: when it pays to waggle (Vol. 419).
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Pocock Rj,. (). The coloration of the Quaggas. Nature, 68, 356–357.
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Gilbert, B. K., & Hailman, J. P. (1966). Uncertainty of leadership-rank in fallow deer. Nature, 209(5027), 1041–1042.
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Terrace, H. S. (1987). Chunking by a pigeon in a serial learning task. Nature, 325(7000), 149–151.
Abstract: A basic principle of human memory is that lists that can be organized into memorable 'chunks' are easier to remember. Memory span is limited to a roughly constant number of chunks and is to a large extent independent of the amount of informaton contained in each chunk. Depending on the ingenuity of the code used to integrate discrete items into chunks, one can substantially increase the number of items that can be recalled correctly. Newly developed paradigms for studying memory in non-verbal organisms allow comparison of the abilities of human and non-human subjects to memorize lists. Here I present two types of evidence that pigeons 'chunk' 5-element lists whose components (colours and achromatic geometric forms) are clustered into distinct groups. Those lists were learned twice as rapidly as a homogeneous list of colours or heterogeneous lists in which the elements are not clustered. The pigeons were also tested for knowledge of the order of two elements drawn from the 5-element lists. They responded in the correct order only to those subsets that contained a chunk boundary. Thus chunking can be studied profitably in animal subjects; the cognitive processes that allow an organism to form chunks do no presuppose linguistic competence.
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Matsuzawa, T. (1985). Use of numbers by a chimpanzee. Nature, 315(6014), 57–59.
Abstract: Recent studies have examined linguistic abilities in apes. However, although human mathematical abilities seem to be derived from the same foundation as those in language, we have little evidence for mathematical abilities in apes (but for exceptions see refs 7-10). In the present study, a 5-yr-old female chimpanzee (Pan troglodytes), 'Ai', was trained to use Arabic numerals to name the number of items in a display. Ai mastered numerical naming from one to six and was able to name the number, colour and object of 300 types of samples. Although no particular sequence of describing samples was required, the chimpanzee favoured two sequences (colour/object/number and object/colour/number). The present study demonstrates that the chimpanzee was able to describe the three attributes of the sample items and spontaneously organized the 'word order'.
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McGonigle, B. (1985). Can apes learn to count? (Vol. 315).
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Crook, J. H. (1983). On attributing consciousness to animals. Nature, 303(5912), 11–14.
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Dyer, F. C. (1998). Spatial Cognition: Lessons from Central-place Foraging Insects. In Russell P. Balda, Irene M. Pepperberg, & Alan C. Kamil (Eds.), Animal Cognition in Nature (pp. 119–154). London: Academic Press.
Abstract: Summary Spatial orientation has played an extremely important role in the development of ideas about the behavioral capacities of animals. Indeed, as the modern scientific study of animal behavior emerged from its roots in zoology and experimental psychology, studies of spatial orientation figured in the work of many of the pioneering researchers, including Tinbergen (), von ), Watson () and .
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Smith, W. J. (1998). Cognitive Implications of an Information-sharing Model of Animal Communication. In Russell P. Balda, Irene M. Pepperberg, & Alan C. Kamil (Eds.), Animal Cognition in Nature (pp. 227–243). London: Academic Press.
Abstract: Summary In social communication, one animal signals and another responds. Several cognitive steps are involved as the second animal selects its responses; these steps can be described as follows in terms of an informational model. First, the responding individual must evaluate the information made available by the signaling on the basis of other information, available from sources contextual to the signal. Second, the respondent must fit all of the relevant information into patterns generated from recall of past events (conscious recall is not generally required; pattern fitting is a fundamental skill). Third, conditional predictions must be made; and fourth, the individual must test and modify any of these predictions for which significant consequences exist. Many vertebrate animals appear to respond to signaling with considerable flexibility. Communicative events are thus complex but are by no means intractable. Indeed, communication provides us with excellent opportunities to investigate animal cognition.
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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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