scholarly journals Computational challenges to test and revitalize Claude Lévi-Strauss transformational methodology

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110378
Author(s):  
Albert Doja ◽  
Laurent Capocchi ◽  
Jean-François Santucci
Keyword(s):  
Computational Models ◽  
Discrete Event ◽  
Google Earth ◽  
Discrete Event System ◽  
Dynamic Visualization ◽  
System Specification ◽  
Software Environment ◽  
Discrete Event System Specification ◽  
Event System ◽  
The Impact

The ambition and proposal for data modeling of myths presented in this paper is to link contemporary technical affordances to some canonical projects developed in structural anthropology. To articulate the theoretical promise and innovation of this proposal, we present a discrete-event system specification modeling and simulation approach in order to perform a generative analysis and a dynamic visualization of selected narratives, aimed at validating and revitalizing the transformational and morphodynamic theory and methodology proposed by Claude Lévi-Strauss in his structural analysis of myth. After an analysis of Lévi-Strauss’s transformational methodology, we describe in detail how discrete-event system specification models are implemented and developed in the framework of a DEVSimPy software environment. The validation of the method involves a discrete-event system specification simulation based on the extension of discrete-event system specification models dedicated to provide a dynamic Google Earth visualization of the selected myth. Future work around the discrete-event system specification formalism in anthropology is described as well as future applications regarding the impact of computational models (discrete-event system specification formalism, Bayesian inferences, and object-oriented features) to new contemporary anthropological domains.

scholarly journals Discrete Event System Specification-based framework for modeling and simulation of propagation phenomena in social networks: application to the information spreading in a multi-layer social network

SIMULATION ◽  
2018 ◽  
Vol 95 (5) ◽  
pp. 411-427 ◽  
Author(s):  
Youssef Bouanan ◽  
Gregory Zacharewicz ◽  
Judicael Ribault ◽  
Bruno Vallespir
Keyword(s):  
Social Network ◽  
Cultural Values ◽  
Discrete Event ◽  
Discrete Event System ◽  
Communication Process ◽  
System Specification ◽  
Discrete Event System Specification ◽  
Agent Based ◽  
Event System ◽  
The Impact

The diffusion of information is defined as the communication process by which an idea or information spreads within a social system and impacts the behavior of social actors (individuals). The social interaction plays an important role in studying the propagation of information and how it influences people. When an informational event occurs, it can either die out quickly or have significant impact on a population. The interactions could be supported by physical proximity contact, remote collaboration, any type of social meetings, and some forms of verbal or written communication, depending on the situations. Institutions and firms search to understand and predict the impact of information propagation on individuals. Agent-based modeling is a powerful approach for studying such a collective process. However, existing models oversimplify the cultural attributes, the different types of links, and information content, despite the evidence of their central role in the diffusion process. In this context, great benefits could be derived from the exploitation of an individual’s personality and cultural values in the diffusion models. In this paper, we describe a new architecture for an agent-based model using the DEVS (Discrete Event System Specification) framework and show how this architecture is flexible and can support the simulation of the dissemination process. In more detail, we define a set of models of individuals characterized by a set of state variables to represent the behavior of an individual and the individual’s network within a multi-layer social network. Then, we start by introducing the platform architecture, specifically designed to simulate message propagation in a multi-layer network. Finally, a military scenario of message diffusion during a stabilization phase is used to test our DEVS models on the platform and the relevancy of the simulation results.

scholarly journals A DSDEVS-Based Model for Verifying Structural Constraints in Dynamic Business Processes

2020 ◽  
Vol 44 (2) ◽  
pp. 257-273
Author(s):  
Sofiane Boukelkoul ◽  
Ramdane Maamri
Keyword(s):  
Business Processes ◽  
Discrete Event ◽  
Dynamic Structure ◽  
Discrete Event System ◽  
Structural Constraints ◽  
System Specification ◽  
Discrete Event System Specification ◽  
Event System ◽  
Proposed Model ◽  
Structure Properties

This paper presents a DSDEVS-based model “Dynamic Structure Discrete Event System specification” for modeling and simulating business processes with dynamic structure regarding to different contexts. Consequently, this model, formally, improves the reuse of configurable business processes. Thus, the proposed model allows the analysts to personalize their configurable business processes in a sound manner by verifying a set of structure properties, such as, the lack of synchronization and the deadlock by means of simulation. The implementation was done in DEVS-Suite simulator, which is based on DEVSJAVA models.

scholarly journals Modeling and simulation of oncology clinic operations in discrete event system specification

SIMULATION ◽  
2017 ◽  
Vol 94 (2) ◽  
pp. 105-121 ◽  
Author(s):  
Michelle M Alvarado ◽  
Tanisha G Cotton ◽  
Lewis Ntaimo ◽  
Eduardo Pérez ◽  
William R Carpentier
Keyword(s):  
Operations Management ◽  
Discrete Event ◽  
Treatment Method ◽  
Discrete Event System ◽  
Arrival Process ◽  
System Specification ◽  
Operation Performance ◽  
Discrete Event System Specification ◽  
Event System ◽  
Chemotherapy Patients

Oncology clinics are often burdened with scheduling large volumes of cancer patients for chemotherapy under limited resources, such as nurses and chemotherapy chairs. Chemotherapy is a cancer treatment method that is administered orally or intravenously at an outpatient oncology clinic. Chemotherapy patients require a treatment regimen, which is a series of appointments over several weeks or months prescribed by the oncologist. The timing of these appointments is critical to the effectiveness of the chemotherapy treatment on cancer. This motivates the need for new methods for making efficient appointment schedules and for assessing clinic operation performance from both patient and management perspectives. This work uses a classic modeling approach based on systems theory to develop a discrete event system specification (DEVS) simulation model for oncology clinic operations called DEVS-CHEMO. DEVS-CHEMO is configurable to any oncology clinic and provides several capabilities for oncology clinic managers. For example, it can simulate scheduling of chemotherapy patients, clinic resources, and the arrival process of the patients to the clinic on the day of their appointment. This model simulates oncology clinic operations as patients receive chemotherapy treatments and thus allows for assessing scheduling algorithms using both patient and management perspectives. DEVS-CHEMO has been tested and validated using historical data from a real outpatient oncology clinic and the simulation results reported in this paper provide several insights regarding oncology clinic operations management.

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