Transactional Agents: Towards a Robust Multi-Agent System

Front Cover
Springer Science & Business Media, Dec 14, 2001 - Computers - 205 pages
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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Contents

1 Introduction
1
2 Application Scenario
5
3 Overview of Agent Technology
21
4 Overview of Transaction Processing
40
Transactional Agents
63
6 The Agent Transaction Model
79
7 Robustness Guarenteeing Mechanisms
116
8 Interacting with the Execution Agent Execution
135
9 Simulation Study
151
10 Simulation Results
160
11 Summary and Future Work
183
Agent Implementation Prototype
186
References
193
Subject Index
202
Copyright

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