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This proceedings book presents selected peer-reviewed papers from
the 9th International Workshop on 'Service Oriented, Holonic and
Multi-agent Manufacturing Systems for the Industry of the Future'
organized by Universitat Politecnica de Valencia, Spain, and held
on October 3-4, 2019. The SOHOMA 2019 Workshop aimed to foster
innovation in the digital transformation of manufacturing and
logistics by promoting new concepts and methods and solutions
through service orientation in holonic and agent-based control with
distributed intelligence. The book provides insights into the theme
of the SOHOMA'19 Workshop - 'Smart anything everywhere - the
vertical and horizontal manufacturing integration, ' addressing
'Industry of the Future' (IoF), a term used to describe the 4th
industrial revolution initiated by a new generation of adaptive,
fully connected, analytical and highly efficient robotized
manufacturing systems. This global IoF model describes a new stage
of manufacturing, that is fully automatized and uses advanced
information, communication and control technologies such as
industrial IoT, cyber-physical production systems, cloud
manufacturing, resource virtualization, product intelligence, and
digital twin, edge and fog computing. It presents the IoF
interconnection of distributed manufacturing entities using a
'system-of-systems' approach, discussing new types of highly
interconnected and self-organizing production resources in the
entire value chain; and new types of intelligent decision-making
support based on from real-time production data collected from
resources, products and machine learning processing. This book is
intended for researchers and engineers working in the manufacturing
value chain, and specialists developing computer-based control and
robotics solutions for the 'Industry of the Future'. It is also a
valuable resource for master's and Ph.D. students in engineering
sciences programs.
Addressing the open problem of engineering normative open systems
using the multi-agent paradigm, normative open systems are
explained as systems in which heterogeneous and autonomous entities
and institutions coexist in a complex social and legal framework
that can evolve to address the different and often conflicting
objectives of the many stakeholders involved. Presenting a software
engineering approach which covers both the analysis and design of
these kinds of systems, and which deals with the open issues in the
area, ROMAS (Regulated Open Multi-Agent Systems) defines a specific
multi-agent architecture, meta-model, methodology and CASE tool.
This CASE tool is based on Model-Driven technology and integrates
the graphical design with the formal verification of some
properties of these systems by means of model checking techniques.
Utilizing tables to enhance reader insights into the most important
requirements for designing normative open multi-agent systems, the
book also provides a detailed and easy to understand description of
the ROMAS approach and the advantages of using ROMAS. This method
is illustrated with case studies, in which the reader may develop a
comprehensive understanding of applying ROMAS to a given problem.
The case studies are presented with illustrations of the
developments. Reading this book will help readers to understand the
increasing demand for normative open systems and their development
requirements; understand how multi-agent systems approaches can be
used to deal with the development of systems of this kind; to learn
an easy to use and complete engineering method for large-scale and
complex normative systems and to recognize how Model-Driven
technology can be used to integrate the analysis, design,
verification and implementation of multi-agent systems.
ANEMONA is a multi-agent system (MAS) methodology for holonic
manufacturing system (HMS) analysis and design. ANEMONA defines a
mixed top-down and bottom-up development process, and provides
HMS-specific guidelines to help designers identify and implement
holons. The analysis phase is defined in two stages: System
Requirements Analysis, and Holon Identification and Specification.
This analysis provides high-level HMS specifications, adopting a
top-down recursive approach which provides a set of elementary
elements and assembling rules. The next stage is Holon Design, a
bottom-up process to produce the system architecture from the
analysis models. The Holons Implementation stage produces an
Executable Code for the SetUp and Configuration stage. Finally,
maintenances functions are executed in the Operation and
Maintenance stage. The book will be of interest to researchers and
students involved in artificial intelligence and software
engineering, and manufacturing engineers in industry and
academia.
Addressing the open problem of engineering normative open systems
using the multi-agent paradigm, normative open systems are
explained as systems in which heterogeneous and autonomous entities
and institutions coexist in a complex social and legal framework
that can evolve to address the different and often conflicting
objectives of the many stakeholders involved. Presenting  a
software engineering approach which covers both the analysis and
design of these kinds of systems, and which deals with the open
issues in the area, ROMAS (Regulated Open Multi-Agent Systems)
defines a specific multi-agent architecture, meta-model,
methodology and CASE tool. This CASE tool is based on Model-Driven
technology and integrates the graphical design with the formal
verification of some properties of these systems by means of model
checking techniques. Utilizing tables to enhance reader insights
into the most important requirements for designing normative open
multi-agent systems, the book also provides a detailed and easy to
understand description of the ROMAS approach and the advantages of
using ROMAS. This method is illustrated with case studies, in which
the reader may develop a comprehensive understanding of applying
ROMAS to a given problem. The case studies are presented with
illustrations of the developments. Reading this book will help
readers to understand the increasing demand for normative open
systems and their development requirements; understand how
multi-agent systems approaches can be used to deal with the
development of systems of this kind; to learn an easy to use and
complete engineering method for large-scale and complex normative
systems and to recognize how Model-Driven technology can be used to
integrate the analysis, design, verification and implementation of
multi-agent systems.
This volume presents the papers that have been accepted for the
2015 special sessions of the 13th International Conference on
Practical Applications of Agents and Multi-Agent Systems, held at
University of Salamanca, Spain, at 3rd-5th June, 2015: Agents
Behaviours and Artificial Markets (ABAM); Agents and Mobile Devices
(AM); Multi-Agent Systems and Ambient Intelligence (MASMAI); Web
Mining and Recommender systems (WebMiRes); Learning, Agents and
Formal Languages (LAFLang); Agent-based Modeling of Sustainable
Behavior and Green Economies (AMSBGE); Emotional Software Agents
(SSESA) and Intelligent Educational Systems (SSIES). The volume
also includes the paper accepted for the Doctoral Consortium in
PAAMS 2015. 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.
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Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection - International Workshops of PAAMS 2015, Salamanca, Spain, June 3-4, 2015. Proceedings (Paperback, 2015 ed.)
Javier Bajo, Kasper Hallenborg, Pawel Pawlewski, Vicente Botti, Nayat Sanchez-Pi, …
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R2,872
Discovery Miles 28 720
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the workshops
which complemented the 13th International Conference on Practical
Applications of Agents and Multi-Agent Systems, PAAMS 2015, held in
Salamanca, Spain, in June 2015. The 36 revised full papers
presented were carefully reviewed and selected from 91 submissions.
This volume presents the papers that have been accepted for the
following workshops: Workshop on Agents and multi-agent Systems for
AAL and e-HEALTH, Workshop on Agent-Based Solutions for
Manufacturing and Supply Chain, Workshop on MAS for Complex
Networks and Social Computation, Workshop on Intelligent Systems
for Context-based Information Fusion, Workshop on Multi-agent based
Applications for Smart Grids and Sustainable Energy Systems,
Workshop on Multiagent System based Learning Environments, Workshop
in Intelligent Human-Agent Societies.
ANEMONA is a multi-agent system (MAS) methodology for holonic
manufacturing system (HMS) analysis and design. ANEMONA defines a
mixed top-down and bottom-up development process, and provides
HMS-specific guidelines to help designers identify and implement
holons. The analysis phase is defined in two stages: System
Requirements Analysis, and Holon Identification and Specification.
This analysis provides high-level HMS specifications, adopting a
top-down recursive approach which provides a set of elementary
elements and assembling rules. The next stage is Holon Design, a
bottom-up process to produce the system architecture from the
analysis models. The Holons Implementation stage produces an
Executable Code for the SetUp and Configuration stage. Finally,
maintenances functions are executed in the Operation and
Maintenance stage. The book will be of interest to researchers and
students involved in artificial intelligence and software
engineering, and manufacturing engineers in industry and
academia.
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Multi-Agent Systems (Paperback)
Vicent Botti, Andrea Omicini, Stefano Mariani
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R2,234
R1,902
Discovery Miles 19 020
Save R332 (15%)
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