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Industrial applications of distributed AI

Author:

B. Chaib-draaAuthors Info & Claims

Communications of the ACM, Volume 38, Issue 11

Pages 49 - 53

https://doi.org/10.1145/219717.219761

Published: 01 November 1995 Publication History

Abstract

Most work done in distributed artificial intelligence (DAI) had targeted sensory networks, including air traffic control, urban traffic control, and robotic systems. The main reason is that these applications necessitate distributed interpretation and distributed planning by means of intelligent sensors. Planning includes not only the activities to be undertaken, but also the use of material and cognitive resources to accomplish interpretation tasks and planning tasks. These application areas are also characterized by a natural distribution of sensors and receivers in space. In other words, the sensory data-interpretation tasks and action planning are inter-dependent in time and space. For example, in air traffic control, a plan for guiding an aircraft must be coordinated with the plans of other nearby aircraft to avoid collisions.

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Industrial applications of distributed AI

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cover image Communications of the ACM

Communications of the ACM Volume 38, Issue 11

Nov. 1995

102 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/219717

Editor:
Jacques Cohen

Issue’s Table of Contents

Copyright © 1995 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 November 1995

Published in CACM Volume 38, Issue 11

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Cited By

Khalid WSoleymani IMortensen NSigsgaard K(2021)AI-Based Maintenance Scheduling for Offshore Oil and Gas Platforms2021 Annual Reliability and Maintainability Symposium (RAMS)10.1109/RAMS48097.2021.9605794(1-6)Online publication date: 24-May-2021
https://doi.org/10.1109/RAMS48097.2021.9605794
Sakul-Ung PVatcharaphrueksadee ARuchanawet PKearpimy KKetmaneechairat HMaliyaem M(2020)Overmind: A Collaborative Decentralized Machine Learning FrameworkAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0506345:6(280-289)Online publication date: 2020
https://doi.org/10.25046/aj050634
Ye DZhang MVasilakos A(2017)A Survey of Self-Organization Mechanisms in Multiagent SystemsIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2015.250435047:3(441-461)Online publication date: Mar-2017
https://doi.org/10.1109/TSMC.2015.2504350
Ben Othman SZgaya HDotoli MHammadi S(2017)An agent-based Decision Support System for resources' scheduling in Emergency Supply ChainsControl Engineering Practice10.1016/j.conengprac.2016.11.01459(27-43)Online publication date: Feb-2017
https://doi.org/10.1016/j.conengprac.2016.11.014
Sarma V(2015)Intelligent AgentsIETE Journal of Research10.1080/03772063.1996.1141591142:3(105-109)Online publication date: 26-Mar-2015
https://doi.org/10.1080/03772063.1996.11415911
Hossain SOuzrout Y(2012)Trust model simulation for supply chain management2012 15th International Conference on Computer and Information Technology (ICCIT)10.1109/ICCITechn.2012.6509744(376-383)Online publication date: Dec-2012
https://doi.org/10.1109/ICCITechn.2012.6509744
Muñoz AAnton PMaña A(2011)Multiagent systems protectionAdvances in Software Engineering10.5555/1992516.20649242011(1-9)Online publication date: 1-Jan-2011
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Aslam TNg A(2010)Agent-based Simulation and Simulation-based Optimisation for Supply Chain ManagementEnterprise Networks and Logistics for Agile Manufacturing10.1007/978-1-84996-244-5_11(227-247)Online publication date: 2010
https://doi.org/10.1007/978-1-84996-244-5_11
Itmi MRamaswamy SAlshabi W(2009)Towards a cooperative model with variable scale2009 IEEE/ACS International Conference on Computer Systems and Applications10.1109/AICCSA.2009.5069424(829-836)Online publication date: May-2009
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Maña AMuñoz ASerrano D(2009)Protected Computing Approach: Towards the Mutual Protection of Agent Computing7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009)10.1007/978-3-642-00487-2_57(538-547)Online publication date: 2009
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