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Jacques Yelloz

dblp:161/0021 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Planning, search and constraint satisfaction · 77% Multi-agent systems · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning
constraint-based planning
0.212015
Design and Experiment of a Collaborative Planning Service for NetCentric International Brigade Command · AAAI 2015
Distributed systems
service-oriented architecture
0.212015
Design and Experiment of a Collaborative Planning Service for NetCentric International Brigade Command · AAAI 2015

Methods — techniques the papers use, named apart from their topics

constraint-based planning · 0.4
YearPublicationVenuePosition
2015 Design and Experiment of a Collaborative Planning Service for NetCentric International Brigade Command
abstract
Complex operational environments require improved tactical mission command capabilities with a high level of interoperability among coalition control and command (C2) systems. This paper focuses on two areas of interest: decision support based on automated planning and Service Oriented Architecture (SOA) for rapid service development. Previous experiments were performed bilaterally by US, France and Germany to focus on collaborative mission planning using Web Services (WSs). The results reported herein were obtained from a unified experiment performed by US, France and Germany involving a common scenario. The operational benefit from the experimentation has been to improve mutual understanding among allied forces, to dynamically plan for assistance among ground support troops (logistics, MEDEVAC, and other areas) as well as to improve their coordination. The effort addressed system design, and integration within an experimental framework. It enabled the evolution of the CERDEC Mission Command Gateway (MCG) architecture as well as a constraint based planner ORTAC, developed by French DGA and Sagem. It takes into account near real-time multimodal Situation Awareness and readiness status from tactical edge units. The trilateral experiment, entitled From Data to Decision included Net-Centric manned and unmanned assets from all three nations (France Germany US) operating as a cohesive coalition force while preserving command and support relationships as required through their respective chains of command.
Christophe Guettier, Willy Lamal, Israel Mayk, Jacques Yelloz
AAAI4