Multi-Agent Systems 2019
Research on intelligent agents and multi-agent systems has matured during the past decade, and many effective applications of this technology are currently being deployed. Although computational approaches for multi-agent systems have mainly emerged in the past few decades, scholars have been prolif...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
| منشور في: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20210501_9783039430468_805 |
| الوسوم: |
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| _version_ | 1869529101328449536 |
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| collection | Directory of Open Access Books |
| description | Research on intelligent agents and multi-agent systems has matured during the past decade, and many effective applications of this technology are currently being deployed. Although computational approaches for multi-agent systems have mainly emerged in the past few decades, scholars have been prolific with regard to the variety of methods proposed to solve this paradigm. Different communities have emerged with multi-agent systems as their main research topic. Multi-agent systems allow the development of distributed and intelligent applications in complex and dynamic environments. Systems of this kind play a crucial role in life, evidenced by the broad range of applied areas involved in their use, including manufacturing, management sciences, e-commerce, and biotechnology. There are many reasons for the interest of researchers in this new discipline. Firstly, computational systems have gradually shifted towards a distributed paradigm where heterogeneous entities with different goals can enter and leave the system dynamically and interact with each other. Secondly, new computational systems should be able to negotiate with one another, typically on the behalf of humans, in order to come to mutually acceptable agreements. As a consequence, autonomy, interaction, mobility, and openness are key concepts studied in the area. The purpose of this book is to document some of the advances made in this paradigm and attempt to show the current state of this technology by analyzing different aspects in addition its possible application in various domains. This review of the current state-of-the-art does not intend to make an exhaustive exploration of all the current existing works but, rather, to try to give an overview of the research in agent technology, showing the high level of activity of this area. |
| format | Online |
| id | doab-20.500.12854ir-69059 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-690592024-04-11T15:10:35Z Multi-Agent Systems 2019 Omicini, Andrea Mariani, Stefano multi-robot consensus problem formation control noise time delay unmanned surface vehicles multi-agent system training system genetic-based fuzzy rule learning intelligent autonomous control modeling and simulation multi-agent systems smart city development spatiotemporal modeling actor–network theory geoparticipation social interactions simulation model photovoltaic energy parameter fine-tuning self-reported behaviour predictive model multi-agent planning and scheduling potential game equilibrium selection interoperability multiagent systems organizational models agent-based collective intelligence multi-agent complex systems scale-free properties power law distribution biologically inspired approaches and methods collective foraging physics-based simulation methodologies for agent-based systems multi-robot simulation discrete event simulator agent and multi-agent applications classification prediction multi-agent wisdom-of-crowds Hollywood feature-extension collective-intelligence swarm educational games game design situated psychological agents education competences decision support system agent based modeling and simulation production scheduling green coffee supply chain agent-based modeling agent-based simulation decision support thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Research on intelligent agents and multi-agent systems has matured during the past decade, and many effective applications of this technology are currently being deployed. Although computational approaches for multi-agent systems have mainly emerged in the past few decades, scholars have been prolific with regard to the variety of methods proposed to solve this paradigm. Different communities have emerged with multi-agent systems as their main research topic. Multi-agent systems allow the development of distributed and intelligent applications in complex and dynamic environments. Systems of this kind play a crucial role in life, evidenced by the broad range of applied areas involved in their use, including manufacturing, management sciences, e-commerce, and biotechnology. There are many reasons for the interest of researchers in this new discipline. Firstly, computational systems have gradually shifted towards a distributed paradigm where heterogeneous entities with different goals can enter and leave the system dynamically and interact with each other. Secondly, new computational systems should be able to negotiate with one another, typically on the behalf of humans, in order to come to mutually acceptable agreements. As a consequence, autonomy, interaction, mobility, and openness are key concepts studied in the area. The purpose of this book is to document some of the advances made in this paradigm and attempt to show the current state of this technology by analyzing different aspects in addition its possible application in various domains. This review of the current state-of-the-art does not intend to make an exhaustive exploration of all the current existing works but, rather, to try to give an overview of the research in agent technology, showing the high level of activity of this area. 2021-05-01T15:40:11Z 2021-05-01T15:40:11Z 2020 book ONIX_20210501_9783039430468_805 9783039430468 9783039430475 https://directory.doabooks.org/handle/20.500.12854/69059 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2828 https://mdpi.com/books/pdfview/book/2828 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-047-5 10.3390/books978-3-03943-047-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039430468 9783039430475 274 Basel, Switzerland open access |
| spellingShingle | multi-robot consensus problem formation control noise time delay unmanned surface vehicles multi-agent system training system genetic-based fuzzy rule learning intelligent autonomous control modeling and simulation multi-agent systems smart city development spatiotemporal modeling actor–network theory geoparticipation social interactions simulation model photovoltaic energy parameter fine-tuning self-reported behaviour predictive model multi-agent planning and scheduling potential game equilibrium selection interoperability multiagent systems organizational models agent-based collective intelligence multi-agent complex systems scale-free properties power law distribution biologically inspired approaches and methods collective foraging physics-based simulation methodologies for agent-based systems multi-robot simulation discrete event simulator agent and multi-agent applications classification prediction multi-agent wisdom-of-crowds Hollywood feature-extension collective-intelligence swarm educational games game design situated psychological agents education competences decision support system agent based modeling and simulation production scheduling green coffee supply chain agent-based modeling agent-based simulation decision support thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Multi-Agent Systems 2019 |
| title | Multi-Agent Systems 2019 |
| title_full | Multi-Agent Systems 2019 |
| title_fullStr | Multi-Agent Systems 2019 |
| title_full_unstemmed | Multi-Agent Systems 2019 |
| title_short | Multi-Agent Systems 2019 |
| title_sort | multi agent systems 2019 |
| topic | multi-robot consensus problem formation control noise time delay unmanned surface vehicles multi-agent system training system genetic-based fuzzy rule learning intelligent autonomous control modeling and simulation multi-agent systems smart city development spatiotemporal modeling actor–network theory geoparticipation social interactions simulation model photovoltaic energy parameter fine-tuning self-reported behaviour predictive model multi-agent planning and scheduling potential game equilibrium selection interoperability multiagent systems organizational models agent-based collective intelligence multi-agent complex systems scale-free properties power law distribution biologically inspired approaches and methods collective foraging physics-based simulation methodologies for agent-based systems multi-robot simulation discrete event simulator agent and multi-agent applications classification prediction multi-agent wisdom-of-crowds Hollywood feature-extension collective-intelligence swarm educational games game design situated psychological agents education competences decision support system agent based modeling and simulation production scheduling green coffee supply chain agent-based modeling agent-based simulation decision support thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | multi-robot consensus problem formation control noise time delay unmanned surface vehicles multi-agent system training system genetic-based fuzzy rule learning intelligent autonomous control modeling and simulation multi-agent systems smart city development spatiotemporal modeling actor–network theory geoparticipation social interactions simulation model photovoltaic energy parameter fine-tuning self-reported behaviour predictive model multi-agent planning and scheduling potential game equilibrium selection interoperability multiagent systems organizational models agent-based collective intelligence multi-agent complex systems scale-free properties power law distribution biologically inspired approaches and methods collective foraging physics-based simulation methodologies for agent-based systems multi-robot simulation discrete event simulator agent and multi-agent applications classification prediction multi-agent wisdom-of-crowds Hollywood feature-extension collective-intelligence swarm educational games game design situated psychological agents education competences decision support system agent based modeling and simulation production scheduling green coffee supply chain agent-based modeling agent-based simulation decision support thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039430468_805 |