Inbunden, Engelska, 2011
Modelling Natural Action Selection
Av Anil K. Seth, Tony J. Prescott, Joanna J. Bryson
3749 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2011-11-10
- Mått: 183 x 254 x 30 mm
- Vikt: 1 300 g
- Format: Inbunden
- Språk: Engelska
- Antal sidor: 560
- Förlag: Cambridge University Press
- ISBN: 9781107000490
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Mer information
Anil K. Seth is a Reader in the School of Informatics at the University of Sussex, an EPSRC Leadership Fellow and Co-Director of the Sackler Centre for Consciousness Science. His research crosses the fields of computational neuroscience, consciousness science and neurorobotics. In addition to contributing new insights into the mechanisms of action selection, he has developed new ways to link brain activity to conscious experience and he is an authority on the statistical analysis of causality. Tony Prescott is a Professor of Cognitive Neuroscience at the University of Sheffield where he teaches courses on computational neuroscience and biomimetic robotics. His research lies within the biological and brain sciences and concerns understanding the evolution, development and function of natural intelligence. He is particularly well known for his work on modelling the neural substrates for action selection and building robot models of animal and human behaviour. Joanna J. Bryson is a Reader in the Department of Computer Science at the University of Bath. She conducts interdisciplinary research on the origins, structure and construction of human and animal-like intelligence and is involved in topics ranging from the evolution of altruistic communication to the ethical role of robots in our society. She is best known for her work in systems AI and the design of action selection and, more recently, for her work on the evolution of human social structure and reliance on cultural intelligence.
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'… the volume could make the basis for a terrific interdisciplinary graduate seminar, or serve as a means for postdoctoral researchers to get into a related field …' Marc Mangel, The Quarterly Review of Biology
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