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An Introduction to MultiAgent Systems.

Barbara Messing
- Vol. 17, pp 58
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The article was published on 2003-01-01 and is currently open access. It has received 3093 citations till now.

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Citations
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Journal ArticleDOI

Statistical physics of social dynamics

TL;DR: In this article, a wide list of topics ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading are reviewed and connections between these problems and other, more traditional, topics of statistical physics are highlighted.
Journal ArticleDOI

Developing multiagent systems: The Gaia methodology

TL;DR: It is argued that a multiagent system can naturally be viewed and architected as a computational organization, and the appropriate organizational abstractions that are central to the analysis and design of such systems are identified.
Book

Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)

TL;DR: The Jason Agent Programming Language as discussed by the authors is a programming language based on the BDI Agent Model that allows to define simulated environments and communicate with multiple agents in a BDI agent language.
Book ChapterDOI

Computational Intelligence: An Introduction

TL;DR: The general public becomes rapidly jaded with such ‘bold predictions’ that fail to live up to their original hype, and which ultimately render the zealots’ promises as counter-productive.
Journal ArticleDOI

Agent-based systems for manufacturing

TL;DR: The evolution of agent technologies and manufacturing will probably proceed hand in hand and the former can receive real challenges from the latter, which will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.
References
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Journal ArticleDOI

Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization

TL;DR: In this article, a self-tuning sectorization framework is proposed to optimize MIMO broadcast beams autonomously and dynamically based on users' distribution in the network, taking directly UE measurement results as input, deep reinforcement learning agent can track and predict the UE distribution pattern and come up with the best broadcast beams for each cell.
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Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor networks

TL;DR: The Hardware-Embedded Reactive Agents (HERA) platform allows developing applications where reactive agents are directly embedded into heterogeneous wireless sensor nodes with reduced computational resources.
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Model checking cooperation, knowledge, and time—a case study

TL;DR: The aim of this paper is to demonstrate, using the alternating bit protocol as a detailed case study, how existing model checkers for ATL can be deployed to verify epistemic properties.
Journal ArticleDOI

Parameterised verification for multi-agent systems

TL;DR: A semantics is given that captures parameterised, generic multi-agent systems and three notable classes that represent different ways in which the agents may interact among themselves and with the environment are identified.
Journal ArticleDOI

On Proactive, Transparent, and Verifiable Ethical Reasoning for Robots

TL;DR: This work proposes that ethically critical machine reasoning should be proactive, transparent, and verifiable, and describes an architecture where the ethical reasoning is handled by a separate layer, augmenting a typical layered control architecture, ethically moderating the robot actions.