TY  - GEN
AU  - Omicini,Andrea
AU  - Mariani,Stefano
AU  - Omicini,Andrea
AU  - Mariani,Stefano
TI  - Multi-Agent Systems 2019
SN  - books978-3-03943-047-5
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - multi-robot
KW  - consensus problem
KW  - formation control
KW  - noise
KW  - time delay
KW  - unmanned surface vehicles
KW  - multi-agent system
KW  - training system
KW  - genetic-based fuzzy rule learning
KW  - intelligent autonomous control
KW  - modeling and simulation
KW  - multi-agent systems
KW  - smart city development
KW  - spatiotemporal modeling
KW  - actor–network theory
KW  - geoparticipation
KW  - social interactions
KW  - simulation model
KW  - photovoltaic energy
KW  - parameter fine-tuning
KW  - self-reported behaviour
KW  - predictive model
KW  - multi-agent planning and scheduling
KW  - potential game
KW  - equilibrium selection
KW  - interoperability
KW  - multiagent systems
KW  - organizational models
KW  - agent-based collective intelligence
KW  - multi-agent complex systems
KW  - scale-free properties
KW  - power law distribution
KW  - biologically inspired approaches and methods
KW  - collective foraging
KW  - physics-based simulation
KW  - methodologies for agent-based systems
KW  - multi-robot simulation
KW  - discrete event simulator
KW  - agent and multi-agent applications
KW  - classification
KW  - prediction
KW  - multi-agent
KW  - wisdom-of-crowds
KW  - Hollywood
KW  - feature-extension
KW  - collective-intelligence
KW  - swarm
KW  - educational games
KW  - game design
KW  - situated psychological agents
KW  - education
KW  - competences
KW  - decision support system
KW  - agent based modeling and simulation
KW  - production scheduling
KW  - green coffee supply chain
KW  - agent-based modeling
KW  - agent-based simulation
KW  - decision support
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/2828
UR  - https://directory.doabooks.org/handle/20.500.12854/69059
ER  -