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Multi-Agent Systems 2019
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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.
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Keywords
- actor–network theory
- agent and multi-agent applications
- agent based modeling and simulation
- agent-based collective intelligence
- Agent-based modeling
- agent-based simulation
- biologically inspired approaches and methods
- Classification
- collective foraging
- collective-intelligence
- competences
- consensus problem
- decision support
- decision support system
- discrete event simulator
- Education
- Educational games
- equilibrium selection
- feature-extension
- formation control
- Game Design
- genetic-based fuzzy rule learning
- geoparticipation
- green coffee supply chain
- History of engineering & technology
- hollywood
- intelligent autonomous control
- interoperability
- methodologies for agent-based systems
- modeling and simulation
- multi-agent
- multi-agent complex systems
- multi-agent planning and scheduling
- multi-agent system
- multi-agent systems
- multi-robot
- multi-robot simulation
- Multiagent systems
- Noise
- Organizational Models
- parameter fine-tuning
- photovoltaic energy
- physics-based simulation
- potential game
- power law distribution
- prediction
- predictive model
- Production scheduling
- scale-free properties
- self-reported behaviour
- simulation model
- situated psychological agents
- smart city development
- social interactions
- spatiotemporal modeling
- swarm
- Technology, engineering, agriculture
- Technology: general issues
- time delay
- Training system
- unmanned surface vehicles
- wisdom-of-crowds
Links
DOI: 10.3390/books978-3-03943-047-5Editions