Advances in Cognitive Systems
1st Edition
Published on 23. September 2011
528 pages
978-1-84919-076-3 (ISBN)
Description
This book has been inspired by the portfolio of recent scientific outputs from a range of European and national research initiatives in cognitive science. It presents an overview of recent developments in cognition research and unites the various emerging research strands within a single text as a reference point for progress in the subject. It also provides guidance for new researchers on the breadth of the field and the interconnections between the various research strands identified here.
Advances in Cognitive Systems brings together a wide range of material from leading workers in the field as well as the outputs from research groups around the world, covering the two principal cognition paradigms of cognitivism and emergence. Furthermore, it suggests some interesting lines of thought about the challenges and opportunities for future work in the field and for promoting the various research agendas highlighted within. This compilation will be of interest not only to those working in the fields of computer science and AI but also to psychologists, neural scientists, researchers in information science, and engineers involved in the development of advanced robotics, mechatronic systems and HCI systems.
Advances in Cognitive Systems brings together a wide range of material from leading workers in the field as well as the outputs from research groups around the world, covering the two principal cognition paradigms of cognitivism and emergence. Furthermore, it suggests some interesting lines of thought about the challenges and opportunities for future work in the field and for promoting the various research agendas highlighted within. This compilation will be of interest not only to those working in the fields of computer science and AI but also to psychologists, neural scientists, researchers in information science, and engineers involved in the development of advanced robotics, mechatronic systems and HCI systems.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
ISBN-13
978-1-84919-076-3 (9781849190763)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Samia Nefti | John Gray
Advances in Cognitive Systems
Book
02/2010
Institution of Engineering and Technology
€189.50
Shipment within 3-4 weeks
Persons
Dr Samia Nefti PhD, DEA, MBCS, CITP is currently Associate Professor at the University of Salford and is Head of the Artificial Intelligence and Robotics Group at Salford's 6* rated Informatics Research Institute. Her research interest over the last twenty years has focused on machine learning and cognitive robotics and she has published extensively in those areas. She has organized and serves on IPCs and ITCs of top conferences and on editorial boards of journals. She is involved in a number of UK and European multidisciplinary research projects.
Prof. John Gray PhD, DSc, CEng, FIET, FInstMC is currently employed as a Senior Scientist in Robotics at the IIT in Genoa and has visiting Chairs at the University of Manchester and the University of Sheffield. He is currently an honorary editor of the Transactions of InstMC and serves on the editorial advisory board of Industrial Robots. He is involved in a number of ongoing European research projects including the project ROBOTCUB.
Prof. John Gray PhD, DSc, CEng, FIET, FInstMC is currently employed as a Senior Scientist in Robotics at the IIT in Genoa and has visiting Chairs at the University of Manchester and the University of Sheffield. He is currently an honorary editor of the Transactions of InstMC and serves on the editorial advisory board of Industrial Robots. He is involved in a number of ongoing European research projects including the project ROBOTCUB.
Content
Chapter 1: Embodiment in cognitive systems: on the mutual dependence of cognition and robotics
Chapter 2: Intelligence, the interaction of brain, body and environment: design principles for adaptive systems
Chapter 3: Compliant actuation: enhancing the interaction ability of cognitive robotics systems
Chapter 4: Toward a dynamical enactive cognitive architecture
Chapter 5: A computational model of object affordances
Chapter 6: Helping robots imitate: metrics and technological solutions inspired by human behaviour
Chapter 7: Models for cooperative decisions in Prisoner's Dilemma
Chapter 8: Virtual humans made simple
Chapter 9: More from the body: embodied anticipation for swift readaptation in neurocomputational cognitive architectures for robotic agents
Chapter 10: The strategic level and the tactical level of behaviour
Chapter 11: Sequencing embodied gestures in speech
Chapter 12: A neural network model for the prediction of musical emotions
Chapter 13: A conceptual model of investor behavior
Chapter 14: Decision making under risk in swarm intelligence techniques
Chapter 15: Towards a cognitive model of interaction with notations
Chapter 16: How to choose adjudication function distributive cognition?
Chapter 17: Diversity in cognitive models
Chapter 2: Intelligence, the interaction of brain, body and environment: design principles for adaptive systems
Chapter 3: Compliant actuation: enhancing the interaction ability of cognitive robotics systems
Chapter 4: Toward a dynamical enactive cognitive architecture
Chapter 5: A computational model of object affordances
Chapter 6: Helping robots imitate: metrics and technological solutions inspired by human behaviour
Chapter 7: Models for cooperative decisions in Prisoner's Dilemma
Chapter 8: Virtual humans made simple
Chapter 9: More from the body: embodied anticipation for swift readaptation in neurocomputational cognitive architectures for robotic agents
Chapter 10: The strategic level and the tactical level of behaviour
Chapter 11: Sequencing embodied gestures in speech
Chapter 12: A neural network model for the prediction of musical emotions
Chapter 13: A conceptual model of investor behavior
Chapter 14: Decision making under risk in swarm intelligence techniques
Chapter 15: Towards a cognitive model of interaction with notations
Chapter 16: How to choose adjudication function distributive cognition?
Chapter 17: Diversity in cognitive models
