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Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
2020
Renewable & Sustainable Energy Reviews
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The negotiation consists in an iterative process, where for each iteration, an agent makes an offer (consisting of a specific value for each issue under negotiation). ...
the multi-objective management of lithium-ion battery storage in a datacenter for DR [149] , and a bi-level evolutionary algorithm (EA) to determine a retailer's optimal power pricing in the face of ...
[145] 2017 NSGA-II Multi-objective scheduling for RTP. 85 Herath and Venayagamoorthy [158] 2017 Multi-objective PSO Load scheduling for DR. 86 Kazemi et al. ...
doi:10.1016/j.rser.2020.109899
fatcat:wgpj4awq35dfzdq7ugumtrvo7q
Software Review
1998
The Cartographic Journal
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Each agent is decomposed into simpler processes, one such process being responsible for coordination and negotiation. ...
Successful coordination is a key design objective for most multi-agent system builders. Without good coordination mechanisms, many of the benefits of the multi-agent paradigm disappear. ...
The problem with these alternative techniques is that each one is only suitable for certain applications [Chess et al, 1995a] . ...
doi:10.1179/000870498786962790
fatcat:yy2f3jmtfjbt5eqmtfpk7k2tgi
Business Intelligence using Software Agents
2011
Database Systems Journal
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The authors then propose some basic ideas for developing real-time agent-based software system for business intelligence in supply chain management, using Case Base Reasoning Agents. ...
There are briefly presented some of the few solutions proposed so far that use software agents properties for the benefit of business intelligence. ...
Activities like planning, programming, negotiation, multiple interactions make multi-agent system particularly appropriate for this area. ...
doaj:798ba82a37a24c01870ffef8ac3d3dac
fatcat:nwghzvjrx5c3rpiop4ujlrptyu
A Survey on Multi-Agent Based Collaborative Intrusion Detection Systems
2021
Journal of Artificial Intelligence and Soft Computing Research
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Multi-Agent Systems (MAS) have been widely used in many areas like modeling and simulation of complex phenomena, and distributed problem solving. ...
Thus, this work provides a good insight regarding past, current, and future solutions for CIDS, and helps both researchers and professionals design more effective solutions. ...
Authors of [166] proposed a multi-agent-based collaborative IDS (CIDS) model based on Backpropagation neural network. ...
doi:10.2478/jaiscr-2021-0008
fatcat:gfud4kx7crah5fgi5aq2qdn5gm
Machine learning applications for electricity market agent-based models: A systematic literature review
[article]
2022
arXiv
pre-print
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In this systematic literature review, we review 55 papers published between 2016 and 2021 which focus on machine learning applied to agent-based electricity market models. ...
Agent-based models provide the opportunity to integrate machine learning and artificial intelligence to add intelligence, make better forecasts and control the power market in better and more efficient ...
a multi-agent system. ...
arXiv:2206.02196v1
fatcat:kbfur63udjdubipzutanwbzvgm
An Overview about Emerging Technologies of Autonomous Driving
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2306.13302v1 fatcat:re5kksclafehtjwfwd5lfs65qyOther Versions
The neural network model can process the raw data to output intermediate representation (IR), scene segmentation and object detection. ...
Physics-based models constitute dynamic equations that model handdesigned motions for different categories of agents. ...
arXiv:2306.13302v4
fatcat:7wu66h23rzb3jpo35cfvjtdelq
SCHEDULING OF WASTE WOOD PROCESSING FACILITIES WITH OVERLAPPING JOBS
2021
Zenodo
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A mathematical model is presented for the problem, that allows overlaps between consecutive steps to optimize resource flow through the system. ...
This paper presents a method for scheduling the machines in such a waste wood processing facility, where incoming deliveries of different types of wood are processed by a series of treatment and transformation ...
Production Function for Two Inputs
as a Bilevel Programming Problem
584
,
and
A New Methodology to Solve Decentralized Multi-Level Multi-Objective Linear Fractional
Programming Problem
590
Session ...
doi:10.5281/zenodo.5532077
fatcat:chs6ncxsfzgbxnfaxhdbracs7y
Multi-document Summarization via Deep Learning Techniques: A Survey
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2011.04843v2 fatcat:lwdpyj64m5ei7aagyfcu24a5z4Other Versions
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. ...
Our survey, the first of its kind, systematically overviews the recent deep learning based MDS models. ...
Full binary trees formed with these salient representation are fed to the recommended Bi-LSTM tree indexer to enable better generalization abilities. ...
arXiv:2011.04843v3
fatcat:zfi52xxef5g2tjkaw6hgjpwa5i
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
[article]
2022
arXiv
pre-print
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Furthermore, we comprehensively review the evaluation methods and datasets for dialogue systems to pave the way for future research. ...
Dialogue systems are a popular natural language processing (NLP) task as it is promising in real-life applications. It is also a complicated task since many NLP tasks deserving study are involved. ...
On top of that, they applied a Conditional Random Field model in two-agent dialogues and a non-projective dependency tree in multi-agent dialogues, both of them achieving better performance in dialogue ...
arXiv:2105.04387v5
fatcat:yd3gqg45rjgzxbiwfdlcvf3pye
Computational Intelligence Based Complex Adaptive System-of-System Architecture Evolution Strategy
[chapter]
2015
Complex Systems Design & Management
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To address this issue a negotiation model is proposed which helps the SoS manger to adapt his strategy based on system owners behavior. ...
The viewpoints of multiple stakeholders are aggregated to assess the overall mission effectiveness of the overarching objective. ...
Besides the multiple waves depend on scenario for simulation and hence different domains may lead to different results. ...
doi:10.1007/978-3-319-26109-6_9
dblp:conf/csdm/AgarwalDP15
fatcat:j3uqb2unfzgl3dsk46d7xjsctu
Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis
2013
Integrated Computer-Aided Engineering
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MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. ...
This model includes forecasts of competitor players' actions, to build models of their behavior, in order to define the most probable expected scenarios. ...
concerning bi-lateral and multi-lateral negotiations, which is a major contribution by itself, in a sense that this adaptation concerns such a dynamic and specific context, with so many particularities ...
doi:10.3233/ica-130438
fatcat:mxturevn3rclni3a5zqvg7uhyu
Commitments and conventions: The foundation of coordination in multi-agent systems
1993
Knowledge engineering review (Print)
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commitments in changing circumstances) are the foundation of coordination in multi-agent systems. ...
As the discipline matures, researchers are beginning to strive for the underlying theories and principles which guide the central processes of coordination and cooperation. ...
I would also like to thank John Fox for his editorial suggestions. ...
doi:10.1017/s0269888900000205
fatcat:jtzzqiyg2vclxol524aqauthly
Welcome message from the General Chairs
2009
2009 International Workshop on Satellite and Space Communications
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Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%. ...
Robust Solution Search for Noisy Multi-Objective
Optimization Problems
Tomohisa Hashimoto and Hiroyuki Sato
12
15:40 hrs
[102]
A Bi-level Evolutionary Algorithm for Multi-Objective Vehicle Routing ...
The negotiation protocols are enforced by a domain-independent marketplace agent. In order to provide the agents with flexible language structure, a domain-dependent ontology is used. ...
doi:10.1109/iwssc.2009.5286448
fatcat:wcu4uzasizhzjmdkzyekynnqwi
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey
[article]
2019
arXiv
pre-print
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Multi-objective multi-agent systems (MOMAS) explicitly consider the possible trade-offs between conflicting objective functions. ...
The majority of multi-agent system (MAS) implementations aim to optimise agents' policies with respect to a single objective, despite the fact that many real-world problem domains are inherently multi-objective ...
Markov Decision Process (MODec-POMDP), multi-objective Bayesian game (MOBG), multi-objective multi-agent Markov Decision Process (MOMMDP), multi-objective normal form game (MONFG), multi-objective collaborative ...
arXiv:1909.02964v1
fatcat:esizgbvjfbejfacjpwq5c4ujze
Design and management of digital manufacturing and assembly systems in the Industry 4.0 era
2019
The International Journal of Advanced Manufacturing Technology
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Finally, this manuscript illustrates the content of the papers selected for this special issue. ...
The advances in Industry 4.0 provide both challenges and opportunities for digital manufacturing and assembly systems. ...
He provided significant technical and administrative support during the editing and review process, and helped in assessing the quality and contributions of the manuscripts that were submitted for possible ...
doi:10.1007/s00170-019-04595-0
fatcat:3tzxjbhhgne4dlic25n6gl3e5q
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