Read Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments

Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments

gerhard-wei

4.9/5 (19758 ratings)

Description:The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments. To get started finding Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 300

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 3540629343

Description: The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments. To get started finding Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments

Distributed Artificial Intelligence Meets Machine Learning; Learning in Multi-Agent Environments

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