Transactional Agents: Towards a Robust Multi-Agent System
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.
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Transactional Agents: Towards a Robust Multi-Agent System
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.
54.99 In Stock
Transactional Agents: Towards a Robust Multi-Agent System

Transactional Agents: Towards a Robust Multi-Agent System

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

Transactional Agents: Towards a Robust Multi-Agent System

by Khaled Nagi

Paperback(2001)

$54.99 
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Overview

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.

Product Details

ISBN-13: 9783540430469
Publisher: Springer Berlin Heidelberg
Publication date: 02/05/2002
Series: Lecture Notes in Computer Science , #2249
Edition description: 2001
Pages: 208
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of 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.
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