|
Showing 1 - 2 of
2 matches in All Departments
As intelligent autonomous agents and multiagent system applications
become more pervasive, it becomes increasingly important to
understand the risks associated with using these systems. Incorrect
or inappropriate agent behavior can have harmful - fects, including
financial cost, loss of data, and injury to humans or systems. For
- ample, NASA has proposed missions where multiagent systems,
working in space or on other planets, will need to do their own
reasoning about safety issues that concern not only themselves but
also that of their mission. Likewise, industry is interested in
agent systems that can search for new supply opportunities and
engage in (semi-) automated negotiations over new supply contracts.
These systems should be able to securely negotiate such
arrangements and decide which credentials can be requested and
which credentials may be disclosed. Such systems may encounter
environments that are only partially understood and where they must
learn for themselves which aspects of their environment are safe
and which are dangerous. Thus, security and safety are two central
issues when developing and deploying such systems. We refer to a
multiagent system's security as the ability of the system to deal
with threats that are intentionally caused by other intelligent
agents and/or s- tems, and the system's safety as its ability to
deal with any other threats to its goals.
|
Engineering Applications of Neural Networks - 11th International Conference, EANN 2009, London, UK, August 27-29, 2009, Proceedings (Paperback, 2009 ed.)
Dominic Palmer-Brown, Chrisina Draganova, Elias Pimenidis, Haris Mouratidis
|
R3,026
Discovery Miles 30 260
|
Ships in 10 - 15 working days
|
A cursory glance at the table of contents of EANN 2009 reveals the
am- ing range of neural network and related applications. A random
but revealing sample includes: reducing urban concentration,
entropy topography in epil- tic electroencephalography,
phytoplanktonic species recognition, revealing the structure of
childhood abdominal pain data, robot control, discriminating angry
and happy facial expressions, ?ood forecasting, and assessing
credit worthiness. The diverse nature of applications demonstrates
the vitality of neural comp- ing and related soft computing
approaches, and their relevance to many key contemporary
technological challenges. It also illustrates the value of EANN in
bringing together a broad spectrum of delegates from across the
world to learn from each other's related methods. Variations and
extensions of many methods are well represented in the proceedings,
ranging from support vector machines, fuzzy reasoning, and Bayesian
methods to snap-drift and spiking neurons. This year EANN accepted
approximately 40% of submitted papers for fu- length presentation
at the conference. All members of the Program Committee were asked
to participate in the reviewing process. The standard of
submissions was high, according to the reviewers, who did an
excellent job. The Program and Organizing Committees thank them.
Approximately 20% of submitted - pers will be chosen, the best
according to the reviews, to be extended and - viewedagainfor
inclusionin a specialissueofthe journalNeural Computing and
Applications. We hope that these proceedings will help to stimulate
further research and development of new applications and modes of
neural computing.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|