Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
|
Buy Now
Design of Intelligent Multi-Agent Systems - Human-Centredness, Architectures, Learning and Adaptation (Hardcover, 2004 ed.)
Loot Price: R4,779
Discovery Miles 47 790
|
|
Design of Intelligent Multi-Agent Systems - Human-Centredness, Architectures, Learning and Adaptation (Hardcover, 2004 ed.)
Series: Studies in Fuzziness and Soft Computing, 162
Expected to ship within 10 - 15 working days
|
Donate to Gift Of The Givers
Total price: R4,799
Discovery Miles: 47 990
|
There is a tremendous interest in the design and applications of
agents in virtually every area including avionics, business,
internet, engineering, health sciences and management. There is no
agreed one definition of an agent but we can define an agent as a
computer program that autonomously or semi-autonomously acts on
behalf of the user. In the last five years transition of
intelligent systems research in general and agent based research in
particular from a laboratory environment into the real world has
resulted in the emergence of several phenomenon. These trends can
be placed in three catego ries, namely, humanization, architectures
and learning and adapta tion. These phenomena are distinct from the
traditional logic centered approach associated with the agent
paradigm. Humaniza tion of agents can be understood among other
aspects, in terms of the semantics quality of design of agents. The
need to humanize agents is to allow practitioners and users to make
more effective use of this technology. It relates to the semantic
quality of the agent design. Further, context-awareness is another
aspect which has as sumed importance in the light of ubiquitous
computing and ambi ent intelligence. The widespread and varied use
of agents on the other hand has cre ated a need for agent-based
software development frameworks and design patterns as well
architectures for situated interaction, nego tiation, e-commerce,
e-business and informational retrieval. Fi- vi Preface nally,
traditional agent designs did not incorporate human-like abilities
of learning and adaptation."
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.