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In the past few decades, sources of inspiration in the multidisciplinary field of cognitive science have widened. In addition to ongoing vital work in cognitive and affective neuroscience, important new work is being conducted at the intersection of psychology and the biological sciences in general. This volume offers an overview of the cross-disciplinary integration of evolutionary and developmental approaches to cognition in light of these exciting new contributions from the life sciences. This research has explored many cognitive abilities in a wide range of organisms and developmental stages, and results have revealed the nature and origin of many instances of the cognitive life of organisms. Each section of this book deals with a key domain of cognition: spatial cognition; the relationships among attention, perception, and learning, representations of numbers and economic values; and social cognition. Contributors discuss each topic from the perspectives of psychology and neuroscience, brain theory and modeling, evolutionary theory, ecology, genetics, and developmental science.
In particular, it is shown that this activity is grounded on a theory of information based on Bayesian probabilities.
An overview of current research at the intersection of psychology and biology, integrating evolutionary and developmental data and explanations. In the past few decades, sources of inspiration in the multidisciplinary field of cognitive science have widened. In addition to ongoing vital work in cognitive and affective neuroscience, important new work is being conducted at the intersection of psychology and the biological sciences in general. This volume offers an overview of the cross-disciplinary integration of evolutionary and developmental approaches to cognition in light of these exciting new contributions from the life sciences. This research has explored many cognitive abilities in a wide range of organisms and developmental stages, and results have revealed the nature and origin of many instances of the cognitive life of organisms. Each section of Cognitive Biology deals with a key domain of cognition: spatial cognition; the relationships among attention, perception, and learning; representations of numbers and economic values; and social cognition. Contributors discuss each topic from the perspectives of psychology and neuroscience, brain theory and modeling, evolutionary theory, ecology, genetics, and developmental science. Contributors Chris M. Bird, Elizabeth M. Brannon, Neil Burgess, Jessica F. Cantlon, Stanislas Dehaene, Christian F. Doeller, Reuven Dukas, Rochel Gelman, Alexander Gerganov, Paul W. Glimcher, Robert L. Goldstone, Edward M. Hubbard, Lucia F. Jacobs, Mark H. Johnson, Annette Karmiloff-Smith, David Landy, Lynn Nadel, Nora S. Newcombe, Daniel Osorio, Mary A. Peterson, Manuela Piazza, Philippe Pinel, Michael L. Platt, Kristin R. Ratliff, Michael E. Roberts, Wendy S. Shallcross, Stephen V. Shepherd, Sylvain Sirois, Luca Tommasi, Alessandro Treves, Alexandra Twyman, Giorgio Vallortigara
The heart of this book is the reciprocal relationship between philosophical theories of mind and empirical studies of animal cognition. Colin Allen (a philosopher) and Marc Bekoff (a cognitive ethologist) approach their work from a perspective that considers arguments about evolutionary continuity to be as applicable to the study of animal minds and brains as they are to comparative studies of kidneys, stomachs, and hearts. Cognitive ethologists study the comparative, evolutionary, and ecological aspects of the mental phenomena of animals. Philosophy can provide cognitive ethology with an analytical basis for attributing cognition to nonhuman animals and for studying it, and cognitive ethology can help philosophy to explain mentality in naturalistic terms by providing data on the evolution of cognition. This interdiscipinary approach reveals flaws in common objections to the view that animals have minds. The heart of the book is this reciprocal relationship between philosophical theories of mind and empirical studies of animal cognition. All theoretical discussion is carefully tied to case studies, particularly in the areas of antipredatory vigilance and social play, where there are many points of contact with philosophical discussions of intentionality and representation. Allen and Bekoff make specific suggestions about how to use philosophical theories of intentionality as starting points for empirical investigation of animal minds, and they stress the importance of studying animals other than nonhuman primates.
Cognitive Neuroscience: A Reader provides the first definitive collection of readings in this burgeoning area of study.
In the last decade, "evolutionary psychology" has come to refer exclusively to research on human mentality and behavior, motivated by a nativist interpretation of how evolution operates. This book encompasses the behavior and mentality of nonhuman as well as human animals and a full range of evolutionary approaches. Rather than a collection by and for the like-minded, it is a debate about how evolutionary processes have shaped cognition. The debate is divided into five sections: Orientations, on the phylogenetic, ecological, and psychological/comparative approaches to the evolution of cognition; Categorization, on how various animals parse their environments, how they represent objects and events and the relations among them; Causality, on whether and in what ways nonhuman animals represent cause and effect relationships; Consciousness, on whether it makes sense to talk about the evolution of consciousness and whether the phenomenon can be investigated empirically in nonhuman animals; and Culture, on the cognitive requirements for nongenetic transmission of information and the evolutionary consequences of such cultural exchange. ContributorsBernard Balleine, Patrick Bateson, Michael J. Beran, M. E. Bitterman, Robert Boyd, Nicola Clayton, Juan Delius, Anthony Dickinson, Robin Dunbar, D.P. Griffiths, Bernd Heinrich, Cecilia Heyes, William A. Hillix, Ludwig Huber, Nicholas Humphrey, Masako Jitsumori, Louis Lefebvre, Nicholas Mackintosh, Euan M. Macphail, Peter Richerson, Duane M. Rumbaugh, Sara Shettleworth, Martina Siemann, Kim Sterelny, Michael Tomasello, Laura Weiser, Alexandra Wells, Carolyn Wilczynski, David Sloan Wilson
The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.
This book examines the relationship between human language and biology in order to determine whether the biological foundations of language can offer deep insights into the nature and form of language and linguistic cognition. Challenging the assumption in biolinguistics and neurolinguistics that natural language and linguistic cognition can be reconciled with neurobiology, the author argues that reducing representation to cognitive systems and cognitive systems to neural populations is reductive, leading to inferences about the cognitive basis of linguistic performance based on assuming (false) dependencies. Instead, he finds that biological implementations of cognitive rather than the biological structures themselves, are the driver behind linguistic structures. In particular, this book argues that the biological roots of language are useful only for an understanding of the emergence of linguistic capacity as a whole, but ultimately irrelevant to understanding the character of language. Offering an antidote to the current thinking embracing ‘biologism’ in linguistic sciences, it will be of interest to readers in linguistics, the cognitive and brain sciences, and the points at which these disciplines converge with the computer sciences.
How is life related to the mind? The question has long confounded philosophers and scientists, and it is this so-called explanatory gap between biological life and consciousness that Evan Thompson explores in Mind in Life. Thompson draws upon sources as diverse as molecular biology, evolutionary theory, artificial life, complex systems theory, neuroscience, psychology, Continental Phenomenology, and analytic philosophy to argue that mind and life are more continuous than has previously been accepted, and that current explanations do not adequately address the myriad facets of the biology and phenomenology of mind. Where there is life, Thompson argues, there is mind: life and mind share common principles of self-organization, and the self-organizing features of mind are an enriched version of the self-organizing features of life. Rather than trying to close the explanatory gap, Thompson marshals philosophical and scientific analyses to bring unprecedented insight to the nature of life and consciousness. This synthesis of phenomenology and biology helps make Mind in Life a vital and long-awaited addition to his landmark volume The Embodied Mind: Cognitive Science and Human Experience (coauthored with Eleanor Rosch and Francisco Varela). Endlessly interesting and accessible, Mind in Life is a groundbreaking addition to the fields of the theory of the mind, life science, and phenomenology.
How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.