Connectionists: Announcing the "Perception-Action Cycle: Models, Algorithms and Hardware" book

[Cutsuridis, Vassilis]

Dear colleagues,

we are pleased to announce the publication of our book entitled 

“Perception-Action Cycle: Models, Algorithms and Hardware”

by 

Vassilis Cutsuridis (Boston Univ., USA)
Amir Hussain (University of Stirling, UK)
John G. Taylor (King’s Colege, London, UK)

published by

Springer (USA), 2011
http://www.springer.com/biomed/neuroscience/book/978-1-4419-1451-4



Description 
----------------
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 behavior 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, and 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 in 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 
by 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. 


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