Privacy preserving planning in multi-agent stochastic environments

Collaborative privacy preserving planning ( cppp ) gained much attention in the past decade. cppp aims to create solutions for multi agent planning problems where cooperation is required to achieve an efficient solution, without exposing information that the agent considers private in the process. T...

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Veröffentlicht in:	Autonomous agents and multi-agent systems Jg. 36; H. 1
Hauptverfasser:	Hefner, Tommy, Shani, Guy, Stern, Roni
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2022 Springer Nature B.V
Schlagworte:	Adaptation Algorithms Artificial Intelligence Computer Science Computer Systems Organization and Communication Networks Domains Dynamic programming Iterative algorithms Iterative methods Markov processes Message passing Multiagent systems Privacy Real-time programming Run time (computers) Software Engineering/Programming and Operating Systems Synchronism User Interfaces and Human Computer Interaction Privacy preserving planning Multi-agent planning
ISSN:	1387-2532, 1573-7454
Online-Zugang:	Volltext
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