Perception-Action Cycle

Models, Architectures, and Hardware

AvVassilis Cutsuridis,Amir Hussain

Häftad, Engelska, 2016

Del i serien Springer Series in Cognitive and Neural Systems

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Beskrivning

In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data.

Produktinformation

Utgivningsdatum:2016-08-23
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Springer Series in Cognitive and Neural Systems
Antal sidor:784
Förlag:Springer-Verlag New York Inc.
ISBN:9781493939794

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Innehållsförteckning

Preface.- Contents.- Contributors.- Part I. Computational neuroscience models.- Chapter 1. The Role of Attention in Shaping Visual Perceptual Processes John Tsotsos, Albert L. Rothenstein.- Chapter 2. Sensory fusion Mauro Ursino, Elisa Magosso, Cristiano Cuppini.- Chapter 3. Modeling learning and memory consistently from psychology to physiology, Andrew Coward.- Chapter 4. Value maps, drives and emotions Daniel Levine.- Chapter 5. Computational neuroscience models: Error monitoring, conflict resolution and decision making Joshua Brown, William H. Alexander.- Chapter 6. Neural Network Models for Reaching and Dexterous Manipulation in Humans and Anthropomorphic Robotic Systems Rodolphe Gentili, Hyuk Oh, Javier Molina, Jose Contreras-Vidal.- Chapter 7. Schemata learning Jun Tani, Ryunosuke Nishimoto.- Chapter 8. Perception-reason-conceptualization-knowledge representation-reasoning representation-action cycle: The view from the brain John Taylor.- Chapter 9. Consciousness, decision making and neural computation Edmund Rolls.- Chapter 10. A Review of Consciousness Models John G. Taylor.- Part II. Cognitive architectures.- Chapter 11. Vision, attention control and goals creation system, Konstantinos Rapantzikos, Yiannis Avrithis, Stefanos Kolias.- Chapter 12. Semantics extraction from multimedia data: an ontology-based machine learning approach Sergios Petridis, Stavros Perantonis.- Chapter 13. Cognitive algorithms and systems of episodic memory, semantic memory and their learnings Qi Zhang.- Chapter 14. Motivational Processes Within the Perception-Action Cycle Ron Sun, Nick Wilson.- Chapter 15. Error monitoring, conflict resolution and decision making Pedro Lima.- Chapter 16. Developmental Learning of Cooperative Robot Skills: A Hierarchical Multi-Agent Architecture John Karigiannis, Theodoros Rekatsinas, Costas S. Tzafestas.- Chapter 17. Actions & Imagined Actions in Cognitive robots Vishwanathan Mohan, Pietro Morasso, Giorgio Metta, Stathis Kasderidis.- Chapter 18. Cognitive Algorithms and Systems: Reasoning and Knowledge Representation Artur S. d'Avila Garcez, Luis C. Lamb.- Chapter 19. Information theory of decisions and actions Tali Tishby, Daniel Polani.- Chapter 20. Artificial consciousness, Antonio Chella, Riccardo Manzotti.- Part III. Hardware implementations.- Chapter 21. Smart sensor networks Alvin Lim.- Chapter 22. Multisensor Fusion for Low-Power Wireless Microsystems, Alan Murray, Tong Boon Tang.- Chapter 23. Bio-inspired mechatronics and control interfaces. Panagiotis Artemiadis, Kostas Kyriakopoulos.-Subject index.