Open AccessBook
Multiagent System Technologies
Matthias Klusch,Rainer Unland,Onn Shehory,Alexander Pokahr,Sebastian Ahrndt +4 more
- 01 Jan 2008
6
TL;DR: Examples from three strands of research in social choice theory are reviewed: fair division, voting, and judgment aggregation, which show how interaction in a multiagent system affects decision making.
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Abstract: Social choice theory is the study of mechanisms for collective decision making. While originally concerned with modelling and analysing political decision making in groups of people, its basic principles, arguably, are equally relevant to modelling and analysing the kinds of interaction taking place in a multiagent system. In support of this position, I review examples from three strands of research in social choice theory: fair division, voting, and judgment aggregation.
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Citations
Simulating the dynamic scheduling of project portfolios
TL;DR: This work proposes a multi-agent system, where projects negotiate the procurement of resources through an auction mechanism all over the portfolio life, and both projects and resources are modelled as agents.
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UbiPriSEQ—Deep Reinforcement Learning to Manage Privacy, Security, Energy, and QoS in 5G IoT HetNets
TL;DR: The UbiPriSEQ framework is proposed that uses Deep Reinforcement Learning (DRL) to adaptively, dynamically, and holistically optimize QoS, energy-efficiency, security, and privacy, and is evaluated using a real-life application in terms of SINR, privacy metric, latency, and utility function.
55
Merging plans with incomplete knowledge about actions and goals through an agent-based reputation system
Javier Carbó,Javier Carbó,Miguel A. Patricio,Miguel A. Patricio,José M. Molina,José M. Molina +5 more
TL;DR: This paper presents the general framework of execution (the agent system) and the results of applying various merging algorithms to this problem of merging plans formed of sequences of actions with unknown similarities between the goals and actions.
A fair multi-attribute combinatorial double auction model for resource allocation in cloud computing
TL;DR: This work proposes a multi-attribute combinatorial double auction for the allocation of Cloud resources, which not only considers the price but other quality of service parameters also, which reflects the usefulness of the method.
A multiagent-based model for pedestrian simulation in subway stations
TL;DR: A multiagent-based model is proposed on the basis of the metamodel proposed by Behe, which includes the subway station environment abstraction model, three-level pedestrian agent model and interactive rule base, and uses the object-oriented modeling method to realize a normative, extensible and flexible simulation environment building platform.
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Kenneth Price,Rainer Storn,Jouni Lampinen +2 more
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TL;DR: Part 1 Foundations: introduction the era of decentralization, Constructions: constructionism LEGO/logo StarLogo objects and parallelism and Reflections: the centralized mindset beyond the decentralized mindset.
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