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Author: Michael A. Arbib Publisher: ISBN: Category : Computers Languages : en Pages : 488
Book Description
This was begun as a revision of the 1972 classic The Metaphorical Brain, but quickly grew into an independent work. This new volume offers readers a timely, in-depth exploration of exciting research into the interplay between brain modeling, computer design and artificial intelligence.
Author: Michael A. Arbib Publisher: ISBN: Category : Computers Languages : en Pages : 488
Book Description
This was begun as a revision of the 1972 classic The Metaphorical Brain, but quickly grew into an independent work. This new volume offers readers a timely, in-depth exploration of exciting research into the interplay between brain modeling, computer design and artificial intelligence.
Author: Seana Coulson Publisher: Frontiers Media SA ISBN: 2889197727 Category : Neurosciences. Biological psychiatry. Neuropsychiatry Languages : en Pages : 180
Book Description
Metaphor has been an issue of intense research and debate for decades (see, for example [1]). Researchers in various disciplines, including linguistics, psychology, computer science, education, and philosophy have developed a variety of theories, and much progress has been made [2]. For one, metaphor is no longer considered a rhetorical flourish that is found mainly in literary texts. Rather, linguists have shown that metaphor is a pervasive phenomenon in everyday language, a major force in the development of new word meanings, and the source of at least some grammatical function words [3]. Indeed, one of the most influential theories of metaphor involves the suggestion that the commonality of metaphoric language results because cross-domain mappings are a major determinant in the organization of semantic memory, as cognitive and neural resources for dealing with concrete domains are recruited for the conceptualization of more abstract ones [4]. Researchers in cognitive neuroscience have explored whether particular kinds of brain damage are associated with metaphor production and comprehension deficits, and whether similar brain regions are recruited when healthy adults understand the literal and metaphorical meanings of the same words (see [5] for a review) . Whereas early research on this topic focused on the issue of the role of hemispheric asymmetry in the comprehension and production of metaphors [6], in recent years cognitive neuroscientists have argued that metaphor is not a monolithic category, and that metaphor processing varies as a function of numerous factors, including the novelty or conventionality of a particular metaphoric expression, its part of speech, and the extent of contextual support for the metaphoric meaning (see, e.g., [7], [8], [9]). Moreover, recent developments in cognitive neuroscience point to a sensorimotor basis for many concrete concepts, and raise the issue of whether these mechanisms are ever recruited to process more abstract domains [10]. This Frontiers Research Topic brings together contributions from researchers in cognitive neuroscience whose work involves the study of metaphor in language and thought in order to promote the development of the neuroscientific investigation of metaphor. Adopting an interdisciplinary perspective, it synthesizes current findings on the cognitive neuroscience of metaphor, provides a forum for voicing novel perspectives, and promotes avenues for new research on the metaphorical brain. [1] Arbib, M. A. (1989). The metaphorical brain 2: Neural networks and beyond. John Wiley & Sons, Inc. [2] Gibbs Jr, R. W. (Ed.). (2008). The Cambridge handbook of metaphor and thought. Cambridge University Press. [3] Sweetser, Eve E. "Grammaticalization and semantic bleaching." Annual Meeting of the Berkeley Linguistics Society. Vol. 14. 2011. [4] Lakoff, G., & Johnson, M. (1999). Philosophy in the flesh: The embodied mind and its challenge to western thought. Basic books. [5] Coulson, S. (2008). Metaphor comprehension and the brain. The Cambridge handbook of metaphor and thought, 177-194. [6] Winner, E., & Gardner, H. (1977). The comprehension of metaphor in brain-damaged patients. Brain, 100(4), 717-729. [7] Coulson, S., & Van Petten, C. (2007). A special role for the right hemisphere in metaphor comprehension?: ERP evidence from hemifield presentation. Brain Research, 1146, 128-145. [8] Lai, V. T., Curran, T., & Menn, L. (2009). Comprehending conventional and novel metaphors: An ERP study. Brain Research, 1284, 145-155. [9] Schmidt, G. L., Kranjec, A., Cardillo, E. R., & Chatterjee, A. (2010). Beyond laterality: a critical assessment of research on the neural basis of metaphor. Journal of the International Neuropsychological Society, 16(01), 1-5. [10] Desai, R. H., Binder, J. R., Conant, L. L., Mano, Q. R., & Seidenberg, M. S. (2011). The neural career of sensory-motor metaphors. Journal of Cognitive Neuroscience, 23(9), 2376-2386.
Author: Jerome Feldman Publisher: MIT Press ISBN: 0262296888 Category : Psychology Languages : en Pages : 758
Book Description
In From Molecule to Metaphor, Jerome Feldman proposes a theory of language and thought that treats language not as an abstract symbol system but as a human biological ability that can be studied as a function of the brain, as vision and motor control are studied. This theory, he writes, is a "bridging theory" that works from extensive knowledge at two ends of a causal chain to explicate the links between. Although the cognitive sciences are revealing much about how our brains produce language and thought, we do not yet know exactly how words are understood or have any methodology for finding out. Feldman develops his theory in computer simulations—formal models that suggest ways that language and thought may be realized in the brain. Combining key findings and theories from biology, computer science, linguistics, and psychology, Feldman synthesizes a theory by exhibiting programs that demonstrate the required behavior while remaining consistent with the findings from all disciplines. After presenting the essential results on language, learning, neural computation, the biology of neurons and neural circuits, and the mind/brain, Feldman introduces specific demonstrations and formal models of such topics as how children learn their first words, words for abstract and metaphorical concepts, understanding stories, and grammar (including "hot-button" issues surrounding the innateness of human grammar). With this accessible, comprehensive book Feldman offers readers who want to understand how our brains create thought and language a theory of language that is intuitively plausible and also consistent with existing scientific data at all levels.
Author: Michael A. Arbib Publisher: Elsevier ISBN: 0080529755 Category : Science Languages : en Pages : 396
Book Description
Computing the Brain provides readers with an integrated view of current informatics research related to the field of neuroscience. This book clearly defines the new work being done in neuroinformatics and offers information on resources available on the Web to researchers using this new technology. It contains chapters that should appeal to a multidisciplinary audience with introductory chapters for the nonexpert reader. Neuroscientists will find this book an excellent introduction to informatics technologies and the use of these technologies in their research. Computer scientists will be interested in exploring how these technologies might benefit the neuroscience community. - An integrated view of neuroinformatics for a multidisciplinary audience - Explores and explains new work being done in neuroinformatics - Cross-disciplinary with chapters for computer scientists and neuroscientists - An excellent tool for graduate students coming to neuroinformatics research from diverse disciplines and for neuroscientists seeking a comprehensive introduction to the subject - Discusses, in-depth, the structuring of masses of data by a variety of computational models - Clearly defines computational neuroscience - the use of computational techniques and metaphors to investigate relations between neural structure and function - Offers a guide to resources and algorithms that can be found on the Web - Written by internationally renowned experts in the field
Author: Seán Ó Nualláin Publisher: John Benjamins Publishing ISBN: 9027284881 Category : Philosophy Languages : en Pages : 512
Book Description
The Reaching for Mind workshop, held at AISB ’95, explicitly addressed itself to the current crisis in Cognitive Science. In particular, the issue of how this discipline can address consciousness was a leitmotiv in the workshop. The conclusion seems inescapable that there is a need for two sciences in this area. Cognitive Science can be freed to become a fully-fledged experimental epistemology by the creation of a science of consciousness also encompassing subjectivity. This exciting collection of papers indicates where both these sciences may be heading. (Series B) The programme committee of the workshop included: Mike Brady (Oxford); Daniel Dennett (Tufts); Jerry Feldman (Berkeley); John Macnamara (McGill) and Zenon Pylyshyn (Rutgers).
Author: S. Happel Publisher: Springer ISBN: 1403937583 Category : Literary Criticism Languages : en Pages : 226
Book Description
Metaphors for God's Time in Science and Religion examines the exploratory work of metaphors for time in astrophysical cosmology, chaos theory, evolutionary biology and neuroscience. Happel claims that the Christian God is intimately involved at every level of physical and biological science. He compares how scientists and theologians both generate stories, metaphors and symbols about the universe and asks 'who is the God who invents me?
Author: Philip Agre Publisher: MIT Press ISBN: 9780262510905 Category : Computers Languages : en Pages : 794
Book Description
Over time the field of artificial intelligence has developed an "agent perspective" expanding its focus from thought to action, from search spaces to physical environments, and from problem-solving to long-term activity. Originally published as a special double volume of the journal Artificial Intelligence, this book brings together fundamental work by the top researchers in artificial intelligence, neural networks, computer science, robotics, and cognitive science on the themes of interaction and agency. It identifies recurring themes and outlines a methodology of the concept of "agency." The seventeen contributions cover the construction of principled characterizations of interactions between agents and their environments, as well as the use of these characterizations to guide analysis of existing agents and the synthesis of artificial agents.Artificial Intelligence series.Special Issues of Artificial Intelligence
Author: Michael A. Arbib
Author: Michael A. Arbib
Author: Seana Coulson
Author: Michael A. Arbib
Author: Michael A. Arbib
Author: Michael A. Arbib
Author: Jerome Feldman
Author: Michael A. Arbib
Author: Seán Ó Nualláin
Author: S. Happel
Author: Philip Agre