Thinking Networks - the Large and Small of it
I have written one book that looks at adding Artificial
Intelligence to a network-like structure. The book is titled 'Thinking
Networks - the Large and Small of it'. The topics covered span from
large global networks to small local neural-like networks, hence the
title. The book makes a comparison of the knowledge-based (with
rules), or experience-based (through feedback from the environment)
ways of adding intelligence to the system.
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This book is mainly a research monograph, but it also contains blue sky
research sections and also some informative or teaching sections. It
tries to cover research areas that look at adding autonomous or
reasoning capabilities to information networks. It would be of interest
to both academic or industrial researchers looking to build intelligent
networks. For example, the telecommunications sector might want to add
intelligent services to the Internet or to a mobile environment. The suggested
architecture however could be used to build networks that range in size from
large-scale Internet-based networks to small local neural network-like
structures, and ultimately offers an architecture on which to build a
network that might even begin to 'think'. Some of the research has been
proven, while the more ambitious claims or suggestions are for future
research.
The book covers areas such as the
AI (including Autonomous systems, Intelligent, Cognitive or Neural Network-like systems, and
Bio-inspired networks), Internet/p2p/mobile networks, Knowledge
management, SOA, Semantic Networks (Semantic Web,
Ontologies, Web Services, Grid), XML-based languages and query processes. It is
available from different online stores and is also listed on the ACM
portal. The technologies that are described in this book are also
related to the new 'Cloud Computing' architecture.
There is also a related open source software package (
licas) written
in Java that can be used to build service-based networks.
Book Summary
It is clear today how much
people are dependent on digital information sources, where networks
are the prevalent organisational structure. As this dependency grows
then so will the demand for a higher quality of information, where we
are now moving into a service-based environment. This book describes
different aspects of such an environment and is both important and
timely for future Internet-based or mobile information networks. It
considers specifically how intelligence can be added to these networks
and what added benefits the intelligence might bring. For example, can
a network intelligently optimise the services that it provides, or
work out how to solve a more difficult task for a user?
This book is mainly a research
monograph, but it also contains blue sky research sections and also
some informative or teaching sections. The book covers areas such as
Artificial Intelligence (including Autonomous systems; Intelligent,
Cognitive or Neural Network-like systems, and Bio-inspired networks),
Internet/p2p/mobile networks, Knowledge management, SOA, Semantic
Networks (Semantic Web, Ontologies, Web Services, Grid), XML-based
languages and query processes.
The second half of the book discusses some
research ideas undertaken by the author. These are in the areas of
self-organisation and reasoning, through the bio-inspired methods of
stigmergy and reinforcement learning. The research proposes different
levels of reasoning that can be performed over an information network
and would be of interest to both academic or industrial researchers
looking to build these intelligent systems. The suggested architecture
however could be used to build networks that range in size from
large-scale Internet-based networks to small local neural network-like
structures, and ultimately offers an architecture on which to build a
network that might even begin to 'think'.
Read Online
You can read an online version of
the book
here.