Abstract: Summary The last 20-30 years have seen two `scientific revolutions' in the study of animal behavior: the cognitive revolution that originated in psychology, and the Darwinian, behavioral ecology revolution that originated in biology. Among psychologists, the cognitive revolution has had enormous impact. Similarly, among biologists, the Darwinian revolution has had enormous impact. The major theme of this chapter is that these two scientific research programs need to be combined into a single approach, simultaneously cognitive and Darwinian, and that this single approach is most appropriately called cognitive ethology.

Abstract: Description
How do animals perceive the world, learn, remember, search for food or mates, and find their way around? Do any non-human animals count, imitate one another, use a language, or think as we do? What use is cognition in nature and how might it have evolved? Historically, research on such questions has been fragmented between psychology, where the emphasis has been on theoretical models and lab experiments, and biology, where studies focus on evolution and the adaptive use of perception, learning, and decision-making in the field.
Cognition, Evolution and the Study of Behavior integrates research from psychology, behavioral ecology, and ethology in a wide-ranging synthesis of theory and research about animal cognition in the broadest sense, from species-specific adaptations in fish to cognitive mapping in rats and honeybees to theories of mind for chimpanzees. As a major contribution to the emerging discipline of comparative cognition, the book is an invaluable resource for all students and researchers in psychology, zoology, behavioral neuroscience. It will also interest general readers curious about the details of how and why animals--including humans--process, retain, and use information as they do.
Reviews
“This book is a very comprehensive review of animal cognition. It differs from other texts on this topic in a number of ways, as outlined by Shettleworth in her preface and in the opening chapter. Essentially, Shettleworth wants to advocate an 'adaptationist or ecological approach to cognition'. In doing so, she brings together a wealth of data on animal cognition, studied from quite different theoretical viewpoints, such as cognitive ethology, animal learning theory, neuroscience, behavioural ecology and cognitive psychology. . . . Each chapter ends with a clear and useful summary, and helpful suggestions for further reading. The book's numerous illustrations, which are mostly tables or figures redrawn by Margaret Nelson, greatly add to its appeal. . . . [T]his is a marvellously rich, well-written and stimulating book. . . . I greatly enjoyed reading [and] recommend it highly to anyone interested in animal cognition, evolution and behaviour.”--Animal Behaviour
“Sara Shettleworth has probably written the most comprehensive study of the animal mind ever and therefore a fundamental textbook on 'comparative cognition'. She first gets consciousness out of the way: whether an animal is conscious or not is impossible to determine, since consciousness is a private, subjective phenomenon. We can study cognition, and certainly cognition lends credibility to the idea that at least some animals must be at least to some degree conscious, but experiments can only prove facts about cognition. She reviews the field of cognitive ethology from the beginning and then analyzes the main cognitive tasks from an information-processing perspective By the end of her review of cognitive faculties, it become apparent that, at least among vertebrates, there are no significant differences in learning, except for language. All vertebrates are capable of 'associative' learning What no other vertebrate seems to be capable of is 'syntax'.” -- Piero Scaruffi, Thymos.com

Abstract: The recollection of past experiences allows us to recall what a particular event was, and where and when it occurred1,2, a form of memory that is thought to be unique to humans3. It is known, however, that food-storing birds remember the spatial location4, 5, 6 and contents6, 7, 8, 9 of their caches. Furthermore, food-storing animals adapt their caching and recovery strategies to the perishability of food stores10, 11, 12, 13, which suggests that they are sensitive to temporal factors. Here we show that scrub jays (Aphelocoma coerulescens) remember 'when' food items are stored by allowing them to recover perishable 'wax worms' (wax-moth larvae) and non-perishable peanuts which they had previously cached in visuospatially distinct sites. Jays searched preferentially for fresh wax worms, their favoured food, when allowed to recover them shortly after caching. However, they rapidly learned to avoid searching for worms after a longer interval during which the worms had decayed. The recovery preference of jays demonstrates memory of where and when particular food items were cached, thereby fulfilling the behavioural criteria for episodic-like memory in non-human animals.

Abstract: Networks of coupled dynamical systems have been used to model biological oscillators Josephson junction arrays excitable media, neural networks spatial games11, genetic control networks12 and many other self-organizing systems. Ordinarily, the connection topology is assumed to be either completely regular or completely random. But many biological, technological and social networks lie somewhere between these two extremes. Here we explore simple models of networks that can be tuned through this middle ground: regular networks 'rewired' to introduce increasing amounts of disorder. We find that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs. We call them 'small-world' networks, by analogy with the small-world phenomenon (popularly known as six degrees of separation). The neural network of the worm Caenorhabditis elegans, the power grid of the western United States, and the collaboration graph of film actors are shown to be small-world networks. Models of dynamical systems with small-world coupling display enhanced signal-propagation speed, computational power, and synchronizability. In particular, infectious diseases spread more easily in small-world networks than in regular lattices.