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Transactional Agents : Towards a Robust Multi-Agent System / by Khaled Nagi.

LIBRA Q341 .P7 2004
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Format:
Book
Author/Creator:
Nagi, Khaled, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2249.
Lecture Notes in Computer Science, 0302-9743 ; 2249
Language:
English
Subjects (All):
Data structures (Computer science).
Artificial intelligence.
Computer networks.
Database management.
Software engineering.
Information storage and retrieval.
Data Structures and Information Theory.
Artificial Intelligence.
Computer Communication Networks.
Database Management.
Software Engineering.
Information Storage and Retrieval.
Local Subjects:
Data Structures and Information Theory.
Artificial Intelligence.
Computer Communication Networks.
Database Management.
Software Engineering.
Information Storage and Retrieval.
Physical Description:
1 online resource (XVI, 208 pages).
Edition:
First edition 2001.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
System Details:
text file PDF
Summary:
The term "agent" is one of those catchwords that mean widely differing things to different people. To telecommunications people it is little more than a mobile piece of code that may be executed at any place. At the other extreme, AI people often associate with agents human-like traits such as social behavior. In between, software people view agents as fairly self-contained pieces of software that, at the low end, pretty much act like objects and, at the high end, more or less auto- mously decide when and how to react to stimuli or proactively initiate effects that can be observed from their environment. Software agents are particularly important when it comes to distributed en- ronments. There, much of the communication takes place asynchronously, that is the sequence of events cannot be planned ahead in all detail. Instead, agents are given rules as to how to interpret the current situation and, given a common goal, so that they adjust their response accordingly.
Contents:
Application Scenario
Overview of Agent Technology
Overview of Transaction Processing
Proposed Approach: Transactional Agents
The Agent Transaction Model
Robustness Guaranteeing Mechanisms
Interacting with the Execution Agent
Simulation Study
Simulation Results
Summary and Future Work.
Other Format:
Printed edition:
ISBN:
978-3-540-45354-3
9783540453543
Access Restriction:
Restricted for use by site license.

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