[Comp-neuro] NEW BOOK: Perception-action cycle: Models, algorithms and hardware

Vassilis Cutsuridis vcutsuridis at gmail.com
Thu Aug 25 21:23:09 CEST 2011


Dear collegues,

the following book may be of some interest to you:

Perception-action cycle: Models, algorithms and hardware
Springer (USA), 2011

Editors
---------
Vassilis Cutsuridis, Amir Hussain, John G. Taylor


Description
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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.


Its Table of Contents can be found here:

http://www.springer.com/cda/content/document/cda_downloaddocument/9781441914514-t1.pdf?SGWID=0-0-45-1069855-p173922324


Kind regards,

Vassilis
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