Name: Perception-Action Cycle
ISBN: 978-1-4419-1452-1

Editors:

Vassilis Cutsuridis⁰,
Amir Hussain¹,
John G. Taylor²

Vassilis Cutsuridis
1. Department of Psychology, Boston University, Boston, USA
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Amir Hussain
1. Dept. Computing Science, University of Stirling, Stirling, United Kingdom
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John G. Taylor
1. King's College London, Dept. Mathematics, University of London, London, United Kingdom
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Provides focused and easily accessible reviews of various aspects of the perception-action cycle.
Unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities.
Includes supplementary material: sn.pub/extras

Part of the book series: Springer Series in Cognitive and Neural Systems (SSCNS)

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Table of contents (23 chapters)

Front Matter

Pages i-xiv

PDF
Computational Neuroscience Models
1. Front Matter
  
  Pages 1-3
  
  PDF
2. The Role of Attention in Shaping Visual Perceptual Processes
  
  John K. Tsotsos, Albert L. Rothenstein
  
  Pages 5-21
3. Sensory Fusion
  
  Mauro Ursino, Elisa Magosso, Cristiano Cuppini
  
  Pages 23-62
4. Modelling Memory and Learning Consistently from Psychology to Physiology
  
  L. Andrew Coward
  
  Pages 63-133
5. Value Maps, Drives, and Emotions
  
  Daniel S. Levine
  
  Pages 135-168
6. Computational Neuroscience Models: Error Monitoring, Conflict Resolution, and Decision Making
  
  Joshua W. Brown, William H. Alexander
  
  Pages 169-185
7. Neural Network Models for Reaching and Dexterous Manipulation in Humans and Anthropomorphic Robotic Systems
  
  Rodolphe J. Gentili, Hyuk Oh, Javier Molina, José L. Contreras-Vidal
  
  Pages 187-217
8. Schemata Learning
  
  Ryunosuke Nishimoto, Jun Tani
  
  Pages 219-241
9. The Perception-Conceptualisation-Knowledge Representation-Reasoning Representation-Action Cycle: The View from the Brain
  
  John G. Taylor
  
  Pages 243-285
10. Consciousness, Decision-Making and Neural Computation
  
  Edmund T. Rolls
  
  Pages 287-333
11. A Review of Models of Consciousness
  
  John G. Taylor
  
  Pages 335-357
Cognitive Architectures
1. Front Matter
  
  Pages 359-361
  
  PDF
2. Vision, Attention Control, and Goals Creation System
  
  Konstantinos Rapantzikos, Yannis Avrithis, Stefanos Kolias
  
  Pages 363-386
3. Semantics Extraction From Multimedia Data: An Ontology-Based Machine Learning Approach
  
  Sergios Petridis, Stavros J. Perantonis
  
  Pages 387-415
4. Cognitive Algorithms and Systems of Episodic Memory, Semantic Memory, and Their Learnings
  
  Qi Zhang
  
  Pages 417-448
5. Motivational Processes Within the Perception–Action Cycle
  
  Ron Sun, Nick Wilson
  
  Pages 449-472
6. Cognitive Algorithms and Systems of Error Monitoring, Conflict Resolution and Decision Making
  
  Pedro U. Lima
  
  Pages 473-496
7. Developmental Learning of Cooperative Robot Skills: A Hierarchical Multi-Agent Architecture
  
  John N. Karigiannis, Theodoros Rekatsinas, Costas S. Tzafestas
  
  Pages 497-538
8. Actions and Imagined Actions in Cognitive Robots
  
  Vishwanathan Mohan, Pietro Morasso, Giorgio Metta, Stathis Kasderidis
  
  Pages 539-572

About this book

The perception-action cycle is 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 causes 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 actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. 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. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.

Editors and Affiliations

Department of Psychology, Boston University, Boston, USA

Vassilis Cutsuridis
Dept. Computing Science, University of Stirling, Stirling, United Kingdom

Amir Hussain
King's College London, Dept. Mathematics, University of London, London, United Kingdom

John G. Taylor

Bibliographic Information

Book Title: Perception-Action Cycle
Book Subtitle: Models, Architectures, and Hardware
Editors: Vassilis Cutsuridis, Amir Hussain, John G. Taylor
Series Title: Springer Series in Cognitive and Neural Systems
DOI: https://doi.org/10.1007/978-1-4419-1452-1
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-1451-4Published: 14 February 2011
Softcover ISBN: 978-1-4939-3979-4Published: 23 August 2016
eBook ISBN: 978-1-4419-1452-1Published: 02 February 2011
Series ISSN: 2363-9105
Series E-ISSN: 2363-9113
Edition Number: 1
Number of Pages: XIV, 784
Topics: Neurosciences, Computation by Abstract Devices, Neurobiology, Signal, Image and Speech Processing

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Table of contents (23 chapters)

Front Matter

Computational Neuroscience Models

Front Matter

Cognitive Architectures

Front Matter

About this book

Editors and Affiliations

Department of Psychology, Boston University, Boston, USA

Dept. Computing Science, University of Stirling, Stirling, United Kingdom

King's College London, Dept. Mathematics, University of London, London, United Kingdom

Bibliographic Information

Publish with us

Buy it now

Buying options

Other ways to access

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