Buch, Englisch, 784 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 1188 g
Models, Architectures, and Hardware
Buch, Englisch, 784 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 1188 g
Reihe: Springer Series in Cognitive and Neural Systems
ISBN: 978-1-4939-3979-4
Verlag: Springer
The perception-action cycle has been described by the eminent neuroscientist JM Fuster as the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action in the sequence causes certain changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These cause new changes that are analyzed and lead to new action, and so on and so forth.
This book will provide a snapshot and a résumé of the current state-of-the-art of the ongoing research avenues concerning the perception-reason-action cycle. The central aims of the volume are to provide an informational resource and a methodology for anyone interested in constructing and developing models, algorithms and systems of autonomous machines empowered with cognitive capabilities.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
Weitere Infos & Material
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.
