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Manser, M. B., Seyfarth, R. M., & Cheney, D. L. (2002). Suricate alarm calls signal predator class and urgency (Vol. 6).
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McLaren I.P.L. (1998). Animal Learning and Cognition: A neural network approach. Trends. Cognit. Sci., 2, 236.
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Vallortigara G. (1998). Minds of Their Own. Trends. Cognit. Sci., 2, 118.
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Tomasello M., Call J., & Hare B. (2003). Chimpanzees understand psychological states – the question is which ones and to what extent. Trends. Cognit. Sci., 7, 153–156.
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Markman, E. M., & Abelev, M. (2004). Word learning in dogs? Trends. Cognit. Sci., 8(11), 479–81; discussion 481.
Abstract: In a recent paper, Kaminski, Call and Fischer report pioneering research on word-learning in a dog. In this commentary we suggest ways of distinguishing referential word use from mere association. We question whether the dog is reasoning by exclusion and, if so, compare three explanations – learned heuristics, default assumptions, and pragmatic reasoning – as they apply to children and might apply to dogs. Kaminski et al.'s work clearly raises important questions about the origins and basis of word learning and social cognition.
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Seyfarth, R. M., Cheney, D. L., & Bergman, T. J. (2005). Primate social cognition and the origins of language. Trends. Cognit. Sci., 9(6), 264–266.
Abstract: Are the cognitive mechanisms underlying language unique, or can similar mechanisms be found in other domains? Recent field experiments demonstrate that baboons' knowledge of their companions' social relationships is based on discrete-valued traits (identity, rank, kinship) that are combined to create a representation of social relations that is hierarchically structured, open-ended, rule-governed, and independent of sensory modality. The mechanisms underlying language might have evolved from the social knowledge of our pre-linguistic primate ancestors.
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Hampton, R. R., Healy, S. D., Shettleworth, S. J., & Kamil, A. C. (2002). Neuroecologists' are not made of straw. Trends. Cognit. Sci., 6(1), 6–7.
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Worden, R. P. (1996). Primate social intelligence. Cognit. Sci., 20(4), 579–616.
Abstract: A computational theory of primate social intelligence is proposed in which primates represent social situations internally by discrete symbol structures, called scripts. Three well-defined computational operations on scripts are sufficient to support social learning, planning, and prediction. This gives a formal, predictive model with which to analyse how primate social knowledge is acquired, as well as how it is used. The theory is compared with primate data, such as Cheney and Seyfarth's observations of vervet monkeys. It gives simple, understandable script-based analyses of many observed phenomena--such as the recognition and use of kin relations, learning of alarm calls, habituation to calls, knowledge of rank, tactical deception, and attachment behaviour. I argue that a tight, concise theory of social cognition, such as script theory, is needed to explain the rapid learning and social guile seen in primates. It also has the benefits of simplicity and testability. The extension of scripts to incorporate a primate theory of mind is described in a subsequent paper.
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Hare, B., & Tomasello, M. (2005). Human-like social skills in dogs? Trends. Cognit. Sci., 9(9), 439–444.
Abstract: Domestic dogs are unusually skilled at reading human social and communicative behavior--even more so than our nearest primate relatives. For example, they use human social and communicative behavior (e.g. a pointing gesture) to find hidden food, and they know what the human can and cannot see in various situations. Recent comparisons between canid species suggest that these unusual social skills have a heritable component and initially evolved during domestication as a result of selection on systems mediating fear and aggression towards humans. Differences in chimpanzee and human temperament suggest that a similar process may have been an important catalyst leading to the evolution of unusual social skills in our own species. The study of convergent evolution provides an exciting opportunity to gain further insights into the evolutionary processes leading to human-like forms of cooperation and communication.
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Schnall, S., & Gattis, M. (1998). Transitive Inference by Visual Reasoning. Retrieved June 1, 2024, from http://faculty.virginia.edu/schnall/Schnall%20&%20Gattis.pdf
Abstract: Two experiments are reported that investigated the influence
of linear spatial organization on transitive inference
performance. Reward/no-reward relations between
overlapping pairs of elements were presented in a context of
linear spatial order or random spatial order. Participants in
the linear arrangement condition showed evidence for visual
reasoning: They systematically mapped spatial relations to
conceptual relation and used the spatial relations to make
inferences on a reasoning task in a new spatial context. We
suggest that linear ordering may be a “good figure”, by
constituting a parsimonious representation for the integration
of premises, as well as for the inferencing process. The late
emergence of transitive inference in children may be the
result of limited cognitive capacity, which --unless an
external spatial array is available --constrains the
construction of an internal spatial array.
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