Agent Learning Explained
Machine-learning Techniques for Agents and Multi-Agent Systems
(Sprache: Englisch)
An agent (also called an intelligent agent) is a piece of software that can perform a service (eg. find information and present it in the way the user needs it) without any intervention from the user. Agents and Multi-Agent Systems (agents interacting with...
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An agent (also called an intelligent agent) is a piece of software that can perform a service (eg. find information and present it in the way the user needs it) without any intervention from the user. Agents and Multi-Agent Systems (agents interacting with each other to perform a task) are typically used to perform complex information handling tasks on networked computers - eg. the Internet. The more complex the task, the more necessary it is that the agent can learn to make its own decisions. 'Machine Learning' techniques can be used to give agents this capability.
Klappentext zu „Agent Learning Explained “
This book bridges the gap between two communities that could have an enormous impact on each other if techniques and knowledge were properly shared between them. They are the Artificial Intelligence Machine Learning community and the Software Agent community. Although some books from both camps tackle the area of overlap in individual chapters, this is the first to provide a comprehensive tutorial-style reference on how to apply techniques and practices from each discipline to solve common problems. The question of how to program the ability to 'learn' into agents and multi-agent systems is becoming vitally important in a world where the magnitude and complexity of available information is too overwhelming for human users to get to grips with, where we will rely more and more on agent technology to carry out every day tasks.
Bibliographische Angaben
- Autor: Eduardo Alonso
- 2006, 350 Seiten, Maße: 24,5 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470093196
- ISBN-13: 9780470093191
Sprache:
Englisch
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