On-line coordination: event interaction and state communication between cooperative agents

This paper addresses a novel coordination problem for distributed agents in a discrete-event setting. We first introduce and study a predicate coordination problem as the problem of two distributed agents interacting and communicating between themselves to satisfy (the invariance of) a global predic...

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Main Authors: Pham, Manh Tung., Seow, Kiam Tian.
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/84486
http://hdl.handle.net/10220/11752
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author Pham, Manh Tung.
Seow, Kiam Tian.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Pham, Manh Tung.
Seow, Kiam Tian.
author_sort Pham, Manh Tung.
collection NTU
description This paper addresses a novel coordination problem for distributed agents in a discrete-event setting. We first introduce and study a predicate coordination problem as the problem of two distributed agents interacting and communicating between themselves to satisfy (the invariance of) a global predicate specifying an inter-agent constraint. We then develop an optimal coordination policy by which the agents can coordinate to satisfy the predicate constraint. To implement the optimal policy, we develop two on-line coordination strategies including one that can achieve significant savings in communication bandwidth, as demonstrated by simulations. An extension to on-line coordination among multiple agents satisfying multiple constraints is then developed and discussed.
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spelling ntu-10356/844862020-05-28T07:18:24Z On-line coordination: event interaction and state communication between cooperative agents Pham, Manh Tung. Seow, Kiam Tian. School of Computer Engineering This paper addresses a novel coordination problem for distributed agents in a discrete-event setting. We first introduce and study a predicate coordination problem as the problem of two distributed agents interacting and communicating between themselves to satisfy (the invariance of) a global predicate specifying an inter-agent constraint. We then develop an optimal coordination policy by which the agents can coordinate to satisfy the predicate constraint. To implement the optimal policy, we develop two on-line coordination strategies including one that can achieve significant savings in communication bandwidth, as demonstrated by simulations. An extension to on-line coordination among multiple agents satisfying multiple constraints is then developed and discussed. 2013-07-17T06:50:32Z 2019-12-06T15:46:01Z 2013-07-17T06:50:32Z 2019-12-06T15:46:01Z 2012 2012 Journal Article Pham, M. T., & Seow, K. T. (2012). On-line coordination: Event interaction and state communication between cooperative agents. Web Intelligence and Agent Systems, 10(2), 179-192. 1570-1263 https://hdl.handle.net/10356/84486 http://hdl.handle.net/10220/11752 10.3233/WIA-2012-0240 en Web intelligence and agent systems © 2012 IOS Press and the authors.
spellingShingle Pham, Manh Tung.
Seow, Kiam Tian.
On-line coordination: event interaction and state communication between cooperative agents
title On-line coordination: event interaction and state communication between cooperative agents
title_full On-line coordination: event interaction and state communication between cooperative agents
title_fullStr On-line coordination: event interaction and state communication between cooperative agents
title_full_unstemmed On-line coordination: event interaction and state communication between cooperative agents
title_short On-line coordination: event interaction and state communication between cooperative agents
title_sort on line coordination event interaction and state communication between cooperative agents
url https://hdl.handle.net/10356/84486
http://hdl.handle.net/10220/11752
work_keys_str_mv AT phammanhtung onlinecoordinationeventinteractionandstatecommunicationbetweencooperativeagents
AT seowkiamtian onlinecoordinationeventinteractionandstatecommunicationbetweencooperativeagents