Books > Professional & Technical > Energy technology & engineering > Electrical engineering
|
Buy Now
Distributed Strategic Learning for Wireless Engineers (Paperback)
Loot Price: R2,288
Discovery Miles 22 880
|
|
Distributed Strategic Learning for Wireless Engineers (Paperback)
Expected to ship within 12 - 17 working days
|
Although valued for its ability to allow teams to collaborate and
foster coalitional behaviors among the participants, game theory's
application to networking systems is not without challenges.
Distributed Strategic Learning for Wireless Engineers illuminates
the promise of learning in dynamic games as a tool for analyzing
network evolution and underlines the potential pitfalls and
difficulties likely to be encountered. Establishing the link
between several theories, this book demonstrates what is needed to
learn strategic interaction in wireless networks under uncertainty,
randomness, and time delays. It addresses questions such as: How
much information is enough for effective distributed decision
making? Is having more information always useful in terms of system
performance? What are the individual learning performance bounds
under outdated and imperfect measurement? What are the possible
dynamics and outcomes if the players adopt different learning
patterns? If convergence occurs, what is the convergence time of
heterogeneous learning? What are the issues of hybrid learning? How
can one develop fast and efficient learning schemes in scenarios
where some players have more information than the others? What is
the impact of risk-sensitivity in strategic learning systems? How
can one construct learning schemes in a dynamic environment in
which one of the players do not observe a numerical value of its
own-payoffs but only a signal of it? How can one learn "unstable"
equilibria and global optima in a fully distributed manner? The
book provides an explicit description of how players attempt to
learn over time about the game and about the behavior of others. It
focuses on finite and infinite systems, where the interplay among
the individual adjustments undertaken by the different players
generates different learning dynamics, heterogeneous learning,
risk-sensitive learning, and hybrid dynamics.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.