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Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection

PRIETA, Fernando De la - Personal Name; MATHIEU, Philippe - Personal Name; ESCALONA, María J. - Personal Name; CORCHUELO, Rafael - Personal Name;

PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems.

This volume presents the papers that have been accepted for the 2016 in the special sessions: Agents Behaviours and Artificial Markets (ABAM); Advances on Demand Response and Renewable Energy Sources in Agent Based Smart Grids (ADRESS); Agents and Mobile Devices (AM); Agent Methodologies for Intelligent Robotics Applications (AMIRA); Learning, Agents and Formal Languages (LAFLang); Multi-Agent Systems and Ambient Intelligence (MASMAI); Web Mining and Recommender systems (WebMiRes). The volume also includes the paper accepted for the Doctoral Consortium in PAAMS 2016 and Collocated Events.


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Detail Information
Series Title
-
Call Number
-
Publisher
: Springer Cham., 2016
Collation
-
Language
English
ISBN/ISSN
978-3-319-40159-1
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Artificial Intelligence
Computational Intelligence
Specific Detail Info
-
Statement of Responsibility
Fernando de la Prieta, María J. Escalona, Rafael Corchuelo, Philippe Mathieu, Zita Vale, Andrew T. Campbell,
Other Information
Cataloger
Yudi
Source
-
Validator
-
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
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  • Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection
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