
Advances in Cognitive Systems
Description
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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.
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Persons
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 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
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