1,720,993 research outputs found
Scalable Distributed Decision-Making and Coordination in Large and Complex Systems: Methods, Techniques, and Models
Get PDFHuman society, global economy, and Internet are becoming ever more decentralized while millions of computers connected to the Internet facilitate engineering of systems whose scale goes beyond spatial and computational boundaries of individual organizations.
The decision-making authority in this context is distributed throughout a system and the decisions are made locally arising from interactions of an individual with the rest of the system and with its environment. A desired global behavior following the identifiable interest of the whole system is the result of system intelligence that emerges from the system’s belief system and system’s collective actions and, as such, is a shift away from the hierarchical system paradigm. Distributed Decision-Making (DDM) models are usually used to support group decision-making in such large and complex systems where each agent holds only limited information and where the cooperation between agents is crucial for the system’s performance.
In this special issue, we invite the submission of original research articles that focus on the design and implementation of new methods, techniques, and models that adapt or hybridize findings from Distributed Optimization, Multi-Agent Systems, Network Science, and Distributed Computing and facilitate distributed/parallel/multi-agent decision-making and coordination for solving complex computational and real-life problems in large systems. Moreover, we welcome articles focused on any aspect of intelligent and distributed decision-making and coordination in large and complex systems including its formal analysis, with an intention to balance between theoretical research ideas and their practicability. Review articles on the State-of-the-Art in DDM are also welcome
Scalable Distributed Decision-Making and Coordination in Large and Complex Systems: Methods, Techniques, and Models
Get PDFThe main objective of this special issue is to provide an opportunity to study different aspects of intelligent and distributed decision-making and coordination in large and complex systems, including their formal analysis, with an intention to balance between theoretical research ideas and their practicability. Overall, this special issue collects six research articles and one review article on the state-of-the-art in DDM
Decentralizing Coordination in Open Vehicle Fleets for Scalable and Dynamic Task Allocation
Get PDFOne of the major challenges in the coordination of large and open collaborative and commercial vehicle fleets is dynamic task allocation. Self-concerned individually rational vehicle drivers have both local and global objectives, which requires coordination using some fair and efficient task allocation method. In this paper, we review the literature on scalable and dynamic task allocation focusing on deterministic and dynamic two-dimensional linear assignment problems. We focus on multi-agent system representation of open vehicle fleets where dynamically appearing vehicles are represented by software agents that should be allocated to a set of dynamically appearing tasks. We give a comparison and critical analysis of recent research results focusing on centralized, distributed, and decentralized solution approaches. Moreover, we propose mathematical models for dynamic versions of the following assignment problems well-known in combinatorial optimization: the assignment problem, bottleneck assignment, fair matching problem, dynamic minimum deviation assignment problem, ∑k-assignment, the semi-assignment problem, the assignment problem with side constraints, and the assignment problem while recognizing agent qualification; all while considering the main aspect of open vehicle fleets: random arrival of tasks and vehicles (agents) that may become available after assisting previous tasks or by participating in the fleet at times based on individual interest
Leveraging Knowledge Graphs and Ontologies for Context-Aware Emergency Evacuation in Smart Buildings
No full textTesis Doctoral leída en la Universidad Rey Juan Carlos de Madrid en 2024. Directores:
Prof. Dr. Alberto Fernández Gil
Prof. Dr. Marin Lujak
Prof. Dr. Arnaud Donie
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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