NDLI: An influence diagram based multi-criteria decision making framework for multirobot coalition formation

Content Provider	Springer Nature Link
Author	Sen, Sayan D. Adams, Julie A.
Copyright Year	2014
Abstract	Novel systems allocating coalitions of humans and unmanned heterogeneous vehicles will act as force multipliers for future real-world missions. Conventional coalition formation architectures seek to compute efficient robot coalitions by leveraging either a single greedy, approximation, or market-based algorithm, which renders such architectures inapplicable to a variety of real-world mission scenarios. A novel, intelligent multi-criteria decision making framework is presented that reasons over a library of coalition formation algorithms for selecting the most appropriate subset of algorithm(s) to apply to a wide spectrum of complex missions. The framework is based on influence diagrams in order to handle uncertainties in dynamic real-world environments. An existing taxonomy comprised of multiple mission and domain dependent features is leveraged to classify the coalition formation algorithms. Dimensionality reduction is achieved via principal component analysis, which extracts the most significant taxonomy features crucial for decision making. A link analysis technique provides the mission specific utility values of each feature-value pair and algorithm in the library. Experimental results demonstrate that the presented framework accurately selects the most appropriate subset of coalition formation algorithm(s) based on multiple mission criteria, when applied to a number of simulated real-world mission scenarios.
Starting Page	1061
Ending Page	1090
Page Count	30
File Format	PDF
ISSN	13872532
Journal	Autonomous Agents and Multi-Agent Systems
Volume Number	29
Issue Number	6
e-ISSN	15737454
Language	English
Publisher	Springer US
Publisher Date	2014-10-15
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Coalition formation Influence diagrams Link analysis Multi-criteria decision making Artificial Intelligence (incl. Robotics) Computer Systems Organization and Communication Networks Computing Methodologies Software Engineering/Programming and Operating Systems User Interfaces and Human Computer Interaction
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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