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In this work, we utilize the free motion of beads incorporated in bacterial suspension to investigate the behavior of the medium surrounding the beads during biofilm formation. The use of imaging techniques such as digital image correlation enables tracking of the movement of beads, which serve as markers in the processed images. This method is applied to detect and characterize biofilm formation. The main originality of this work lies in characterizing the evolution of the typology of bead movements during biofilm formation. The aim is to identify bead behaviors that represent the start of biofilm formation. By observing inert bead movements introduced into the bacterial environment, changes in trajectory typologies are detected and appear to be related to sessile bacterial activity, bacterial hindrance, and adhesion or formation of extracellular material. We use our approach to discriminate between the presence or absence of antibiotics mixed with bacteria, and to assess their effectiveness. The results highlight the potential of our approach as nondestructive tracking of biofilm dynamics over time based on optical microscope images.
Héloïse Boudarel; Jean‐Denis Mathias; Benoît Blaysat; Michel Grédiac. In situ tracking of microbeads for the detection of biofilm formation. Biotechnology and Bioengineering 2020, 118, 1244 -1261.
AMA StyleHéloïse Boudarel, Jean‐Denis Mathias, Benoît Blaysat, Michel Grédiac. In situ tracking of microbeads for the detection of biofilm formation. Biotechnology and Bioengineering. 2020; 118 (3):1244-1261.
Chicago/Turabian StyleHéloïse Boudarel; Jean‐Denis Mathias; Benoît Blaysat; Michel Grédiac. 2020. "In situ tracking of microbeads for the detection of biofilm formation." Biotechnology and Bioengineering 118, no. 3: 1244-1261.
Although most people want to be happy, the pursuit of happiness involves an overwhelming number of choices and great uncertainty about the consequences. Many of these choices have significant implications for sustainability, which are rarely considered. Here, we present an optimality model that maximizes subjective happiness, which can eventually account for sustainability outcomes. Our model identifies the optimal use of time or energy to maximize happiness. Such models tell people how to invest in domains of happiness (e.g., work vs. leisure) and how to choose activities within domains (e.g., playing a computer game vs. playing a board game). We illustrate this optimization approach with data from an online survey, in which people (n = 87) either recalled or imagined their happiness during common activities. People reported decelerating happiness over time, but the rate of deceleration differed among activities. On average, people imagined spending more time on each activity than would be needed to maximize happiness, suggesting that an optimality model has value for guiding decisions. We then discuss how such models can address sustainability challenges associated with overinvesting (e.g., excessive CO2 emissions). To optimize happiness and explore its implications for sustainability over long periods, models can incorporate psychological processes that alter the potential for happiness and demographic processes that make lifespan uncertain. In cases where less objective approaches have failed, a quantitative theory may improve opportunities for happiness, while meeting sustainability outcomes.
Scott Cloutier; Michael Angilletta; Jean-Denis Mathias; Nuri Onat. Informing the Sustainable Pursuit of Happiness. Sustainability 2020, 12, 9491 .
AMA StyleScott Cloutier, Michael Angilletta, Jean-Denis Mathias, Nuri Onat. Informing the Sustainable Pursuit of Happiness. Sustainability. 2020; 12 (22):9491.
Chicago/Turabian StyleScott Cloutier; Michael Angilletta; Jean-Denis Mathias; Nuri Onat. 2020. "Informing the Sustainable Pursuit of Happiness." Sustainability 12, no. 22: 9491.
Integrated assessment models (IAMs) are commonly used by decision makers in order to derive climate policies. IAMs are currently based on climate‐economics interactions, whereas the role of social system has been highlighted to be of prime importance on the implementation of climate policies. Beyond existing IAMs, we argue that it is therefore urgent to increase efforts in the integration of social processes within IAMs. For achieving such a challenge, we present some promising avenues of research based on the social branches of economics. We finally present the potential implications yielded by such social IAMs.
Jean‐Denis Mathias; Marko Debeljak; Guillaume Deffuant; Arnaud Diemer; Florian Dierickx; Jonathan F. Donges; Ganna Gladkykh; Jobst Heitzig; Georg Holtz; Wolfgang Obergassel; Francine Pellaud; Angel Sánchez; Aneta Trajanov; Nuno Videira. Grounding Social Foundations for Integrated Assessment Models of Climate Change. Earth's Future 2020, 8, 1 .
AMA StyleJean‐Denis Mathias, Marko Debeljak, Guillaume Deffuant, Arnaud Diemer, Florian Dierickx, Jonathan F. Donges, Ganna Gladkykh, Jobst Heitzig, Georg Holtz, Wolfgang Obergassel, Francine Pellaud, Angel Sánchez, Aneta Trajanov, Nuno Videira. Grounding Social Foundations for Integrated Assessment Models of Climate Change. Earth's Future. 2020; 8 (7):1.
Chicago/Turabian StyleJean‐Denis Mathias; Marko Debeljak; Guillaume Deffuant; Arnaud Diemer; Florian Dierickx; Jonathan F. Donges; Ganna Gladkykh; Jobst Heitzig; Georg Holtz; Wolfgang Obergassel; Francine Pellaud; Angel Sánchez; Aneta Trajanov; Nuno Videira. 2020. "Grounding Social Foundations for Integrated Assessment Models of Climate Change." Earth's Future 8, no. 7: 1.
Resilience is the capacity of systems to recover their initial state or functions after a disturbance. The concepts of resilience and resistance are complementary in ecology and both represent different aspects of the stability of ecosystems. However, antibiotic resilience is not used in clinical bacteriology whereas antibiotic resistance is a recognized major problem. To join the fields of ecology and clinical bacteriology, we first review the resilience concept from ecology, socio-ecological systems and microbiology where it is widely developed. We then review resilience-related concepts in microbiology, including bacterial tolerance and persistence, phenotypic heterogeneity and collective tolerance and resistance. We discuss how antibiotic resilience could be defined and argue that the use of this concept largely relies on its experimental measure and its clinical relevance. We review indicators in microbiology which could be used to reflect antibiotic resilience and used as valuable indicators to anticipate the capacity of bacteria to recover from antibiotic treatments.
Gabriel Carvalho; Christiane Forestier; Jean-Denis Mathias. Antibiotic resilience: a necessary concept to complement antibiotic resistance? Proceedings of the Royal Society B: Biological Sciences 2019, 286, 20192408 .
AMA StyleGabriel Carvalho, Christiane Forestier, Jean-Denis Mathias. Antibiotic resilience: a necessary concept to complement antibiotic resistance? Proceedings of the Royal Society B: Biological Sciences. 2019; 286 (1916):20192408.
Chicago/Turabian StyleGabriel Carvalho; Christiane Forestier; Jean-Denis Mathias. 2019. "Antibiotic resilience: a necessary concept to complement antibiotic resistance?" Proceedings of the Royal Society B: Biological Sciences 286, no. 1916: 20192408.
A chemical modification by grafting alkyl chains using an octanal (C8) on chitosan was conducted with the aim to improve its water resistance for bonding applications. The chemical structure of the modified polymers was determined by NMR analyses revealing two alkylation degrees (10 and 15%). In this study, the flow properties of alkyl-chitosans were also evaluated. An increase in the viscosity was observed in alkyl-chitosan solutions compared with solutions of the same concentration based on native chitosan. Moreover, the evaluation of the adhesive strength (bond strength and shear stress) of both native and alkyl-chitosans was performed on two different double-lap adherends (aluminum and wood). Alkyl-chitosans (10 and 15%) maintain sufficient adhesive properties on wood and exhibit better water resistance compared to native chitosan.
Narimane Mati-Baouche; Cédric Delattre; Hélène De Baynast; Michel Grédiac; Jean-Denis Mathias; Alina Violeta Ursu; Jacques Desbrières; Philippe Michaud. Alkyl-Chitosan-Based Adhesive: Water Resistance Improvement. Molecules 2019, 24, 1987 .
AMA StyleNarimane Mati-Baouche, Cédric Delattre, Hélène De Baynast, Michel Grédiac, Jean-Denis Mathias, Alina Violeta Ursu, Jacques Desbrières, Philippe Michaud. Alkyl-Chitosan-Based Adhesive: Water Resistance Improvement. Molecules. 2019; 24 (10):1987.
Chicago/Turabian StyleNarimane Mati-Baouche; Cédric Delattre; Hélène De Baynast; Michel Grédiac; Jean-Denis Mathias; Alina Violeta Ursu; Jacques Desbrières; Philippe Michaud. 2019. "Alkyl-Chitosan-Based Adhesive: Water Resistance Improvement." Molecules 24, no. 10: 1987.
Decision‐makers often have to act before critical times to avoid the collapse of ecosystems using knowledge that can be incomplete or biased. Adaptive management may help managers tackle such issues. However, because the knowledge infrastructure required for adaptive management may be mobilized in several ways, we study the quality and the quantity of knowledge provided by this knowledge infrastructure. In order to analyze the influence of mobilized knowledge, we study how the following typology of knowledge and its use may impact the safe operating space of exploited ecosystems: 1)knowledge of the past based on a time series distorted by measurement errors; 2)knowledge of the current systems' dynamics based on the representativeness of the decision‐makers' mental models of the exploited ecosystem; 3)knowledge of future events based on decision‐makers' likelihood estimates of extreme events based on modeling infrastructure (models and experts to interpret them) they have at their disposal. We consider different adaptive management strategies of a general regulated exploited ecosystem model and we characterize the robustness of these strategies to biased knowledge. Our results show that even with significant mobilized knowledge and optimal strategies, imperfect knowledge may still shrink the safe operating space of the system leading to the collapse of the system. However, we also show that in some cases imperfect knowledge may unexpectedly increase the safe operating space by suggesting cautious strategies. We leverage the quantitative results to frame a discussion focusing on the importance of understanding subtleties of how adaptive knowledge mobilization and knowledge infrastructure affect the robustness of exploited ecosystems.
Jean-Denis Mathias; John M. Anderies; Marco A. Janssen. How Does Knowledge Infrastructure Mobilization Influence the Safe Operating Space of Regulated Exploited Ecosystems? Earth's Future 2018, 6, 1555 -1567.
AMA StyleJean-Denis Mathias, John M. Anderies, Marco A. Janssen. How Does Knowledge Infrastructure Mobilization Influence the Safe Operating Space of Regulated Exploited Ecosystems? Earth's Future. 2018; 6 (11):1555-1567.
Chicago/Turabian StyleJean-Denis Mathias; John M. Anderies; Marco A. Janssen. 2018. "How Does Knowledge Infrastructure Mobilization Influence the Safe Operating Space of Regulated Exploited Ecosystems?" Earth's Future 6, no. 11: 1555-1567.
The Intergovernmental Panel on Climate Change anticipates increasing extreme rain events in the 21st century, leading to more frequent floods and more phosphorus transported into lakes, enhancing the risk of their eutrophication. This paper reports research assessing this risk on Lake Bourget in France, by coupling a statistical estimation of annual phosphorus transportation from annual rainfall and a dynamical model estimating the evolution of the phosphorus concentration in the lake in the period 2000–2050 according to yearly phosphorus transportation. The study of the model on the past suggests that the relative drought of the 2000s has fostered the effect of management measures to reduce phosphorus loading, enabling compliance with the Organisation for Economic Co-operation and Development guidance target for 2020. Simulations on different scenarios for the future show that a 10% increase in the rainfall standard deviation nearly doubles the probability of eutrophication, from 2.40% to 4.26% between 2016 and 2050.
Antoine Brias; Jean-Denis Mathias; Guillaume Deffuant. Inter-annual rainfall variability may foster lake regime shifts: An example from Lake Bourget in France. Ecological Modelling 2018, 389, 11 -18.
AMA StyleAntoine Brias, Jean-Denis Mathias, Guillaume Deffuant. Inter-annual rainfall variability may foster lake regime shifts: An example from Lake Bourget in France. Ecological Modelling. 2018; 389 ():11-18.
Chicago/Turabian StyleAntoine Brias; Jean-Denis Mathias; Guillaume Deffuant. 2018. "Inter-annual rainfall variability may foster lake regime shifts: An example from Lake Bourget in France." Ecological Modelling 389, no. : 11-18.
Social issues are generally discussed by highly-involved and less-involved people to build social norms defining what has to be thought and done about them. As self-involved agents share different attitude dynamics to other agents [Wood, W., Pool, G., Leck, K. and Purvis, D., Self-definition, defensive processing, and influence: The normative impact of majority and minority groups, J. Pers. Soc. Psychol. (1996) 1181–1193], we study the emergence and evolution of norms through an individual-based model involving these two types of agents. The dynamics of self-involved agents is drawn from [Huet, S. and Deffuant, G., Openness leads to opinion stability and narrowness to volatility, Adv. Complex Syst. 13 (2010) 405–423], and the dynamics of others, from [Deffuant, G., Neau, D., Amblard, F. and Weisbuch, G., Mixing beliefs among interacting agents, Adv. Complex Syst. 3 (2001) 87–98]. The attitude of an agent is represented as a segment on a continuous attitudinal space. Two agents are close if their attitude segments share sufficient overlap. Our agents discuss two different issues, one of which, called main issue, is more important for the self-involved agents than the other, called secondary issue. Self-involved agents are attracted to both issues if they are close to the main issue, but shift away from their peer’s opinion if they are only close on the secondary issue. Differently, non-self-involved agents are attracted by other agents when they are close on both the main and secondary issues. We observe the emergence of various types of extreme minor clusters. In one or different groups of attitudes, they can lead to an already-built moderate norm or a norm polarized on secondary and/or main issues. They can also push disagreeing agents gathered in different groups to a global moderate consensus.
Sylvie Huet; Jean-Denis Mathias. FEW SELF-INVOLVED AGENTS AMONG BOUNDED CONFIDENCE AGENTS CAN CHANGE NORMS. Advances in Complex Systems 2018, 21, 1 .
AMA StyleSylvie Huet, Jean-Denis Mathias. FEW SELF-INVOLVED AGENTS AMONG BOUNDED CONFIDENCE AGENTS CAN CHANGE NORMS. Advances in Complex Systems. 2018; 21 (06n07):1.
Chicago/Turabian StyleSylvie Huet; Jean-Denis Mathias. 2018. "FEW SELF-INVOLVED AGENTS AMONG BOUNDED CONFIDENCE AGENTS CAN CHANGE NORMS." Advances in Complex Systems 21, no. 06n07: 1.
Maintaining safe operating spaces for exploited natural systems in the face of uncertainty is a key sustainability challenge. This challenge can be viewed as a problem in which human society must navigate in a limited space of acceptable futures in which humans enjoy sufficient well-being and avoid crossing planetary boundaries. A critical obstacle is the nature of society as a controller with endogenous dynamics affected by knowledge, values, and decision-making fallacies. We outline an approach for analyzing the role of knowledge infrastructure in maintaining safe operating spaces. Using a classic natural resource problem as an illustration, we find that a small safe operating space exists that is insensitive to the type of policy implementation, while in general, a larger safe operating space exists which is dependent on the implementation of the “right” policy. Our analysis suggests the importance of considering societal response dynamics to varying policy instruments in defining the shape of safe operating spaces.
John M. Anderies; Jean-Denis Mathias; Marco A. Janssen. Knowledge infrastructure and safe operating spaces in social–ecological systems. Proceedings of the National Academy of Sciences 2018, 116, 5277 -5284.
AMA StyleJohn M. Anderies, Jean-Denis Mathias, Marco A. Janssen. Knowledge infrastructure and safe operating spaces in social–ecological systems. Proceedings of the National Academy of Sciences. 2018; 116 (12):5277-5284.
Chicago/Turabian StyleJohn M. Anderies; Jean-Denis Mathias; Marco A. Janssen. 2018. "Knowledge infrastructure and safe operating spaces in social–ecological systems." Proceedings of the National Academy of Sciences 116, no. 12: 5277-5284.
This paper considers a dynamical way to connect resilience outcomes and processes by nesting process-based approaches inside a controlled dynamical system under resource constraints. To illustrate this, we use a dynamical model of electric power generation to show the complementary aspects of outcome, resources, and process-based approaches for analyzing infrastructure resilience. The results of this stylized model show that adaptation is the most influential process and that for monitoring to be efficient it must account for associated costs. Beyond these specific results, we suggest that nesting outcome- and process-based approaches within a dynamical controlled framework can be very useful and complementary for infrastructure managers and designers tasked with effectively allocating resources for enhancing system resilience.
Jean-Denis Mathias; Susan Spierre Clark; Nuri Onat; Thomas P. Seager. An Integrated Dynamical Modeling Perspective for Infrastructure Resilience. Infrastructures 2018, 3, 11 .
AMA StyleJean-Denis Mathias, Susan Spierre Clark, Nuri Onat, Thomas P. Seager. An Integrated Dynamical Modeling Perspective for Infrastructure Resilience. Infrastructures. 2018; 3 (2):11.
Chicago/Turabian StyleJean-Denis Mathias; Susan Spierre Clark; Nuri Onat; Thomas P. Seager. 2018. "An Integrated Dynamical Modeling Perspective for Infrastructure Resilience." Infrastructures 3, no. 2: 11.
Persisters form sub-populations of stress-tolerant cells that play a major role in the capacity of biofilms to survive and recover from disturbances such as antibiotic treatments. The mechanisms of persistence are diverse and influenced by environmental conditions, and persister populations are more heterogeneous than formerly suspected. We used computational modeling to assess the impact of three switching strategies between susceptible and persister cells on the capacity of bacterial biofilms to grow, survive and recover from antibiotic treatments. The strategies tested were: (1) constant switches, (2) substrate-dependent switches and (3) antibiotic-dependent switches. We implemented these strategies in an individual-based biofilm model and simulated antibiotic shocks on virtual biofilms. Because of limited available data on switching rates in the literature, nine parameter sets were assessed for each strategy. Substrate and antibiotic-dependent switches allowed high switching rates without affecting the growth of the biofilms. Compared to substrate-dependent switches, constant and antibiotic-dependent switches were associated with higher proportions of persisters in the top of the biofilms, close to the substrate source, which probably confers a competitive advantage within multi-species biofilms. The constant and substrate-dependent strategies need a compromise between limiting the wake-up and death of persisters during treatments and leaving the persister state fast enough to recover quickly after antibiotic-removal. Overall, the simulations gave new insights into the relationships between the dynamics of persister populations in biofilms and their dynamics of growth, survival and recovery when faced with disturbances. Computer simulations yield useful insights into strategies bacteria in biofilms use to switch into antibiotic-tolerant “persister” states. A diverse range of mechanisms are available to promote the transition into persister forms. The populations of cells in persister states are proving to be more varied than previously thought. Researchers in France, led by Gabriel Carvalho at the Complex Systems Engineering Laboratory in Aubière, modelled different switching strategies that allow biofilms to survive, recover and grow despite antibiotic treatments. Their procedure examines the effect on switching rates of a greater range of variable factors than previous simulation methods. These variables include the concentration and flow patterns of relevant chemical compounds, changing environmental conditions, and the challenge presented by different antibiotics. The results will help research toward understanding and treating a variety of medically significant biofilm infections.
Gabriel Carvalho; Damien Balestrino; Christiane Forestier; Jean-Denis Mathias. How do environment-dependent switching rates between susceptible and persister cells affect the dynamics of biofilms faced with antibiotics? npj Biofilms and Microbiomes 2018, 4, 1 -8.
AMA StyleGabriel Carvalho, Damien Balestrino, Christiane Forestier, Jean-Denis Mathias. How do environment-dependent switching rates between susceptible and persister cells affect the dynamics of biofilms faced with antibiotics? npj Biofilms and Microbiomes. 2018; 4 (1):1-8.
Chicago/Turabian StyleGabriel Carvalho; Damien Balestrino; Christiane Forestier; Jean-Denis Mathias. 2018. "How do environment-dependent switching rates between susceptible and persister cells affect the dynamics of biofilms faced with antibiotics?" npj Biofilms and Microbiomes 4, no. 1: 1-8.
To apply the framework of Topology of Sustainable Management (TSM) by Heitzig et al. (2016) to dynamical models, we connect it to viability theory (VT) via a variant definition of the former. This enables us to use the Saint-Pierre algorithm to estimate the main partition of TSM, improving the operationalization of TSM. Furthermore, we present an extension of the algorithm to compute implicitly defined capture basins, a notion from VT that is more elaborated in the article, as these come up in TSM. We use a low- complexity model coupling environmental and socio-economic dynamics to demonstrate the applicability of this approach. Two common problems of estimations in VT are critical for this example: (i) an unbounded state space and (ii) highly varying time scales. We solve both by introducing appropriate coordinate transformations. These solutions are applicable for general systems, too.
Tim Kittel; Rebekka Koch; Jobst Heitzig; Guillaume Deffuant; Jean-Denis Mathias; Jurgen Kurths. Operationalization of Topology of Sustainable Management to Estimate Qualitatively Different Regions in State Space. 2017, 1 .
AMA StyleTim Kittel, Rebekka Koch, Jobst Heitzig, Guillaume Deffuant, Jean-Denis Mathias, Jurgen Kurths. Operationalization of Topology of Sustainable Management to Estimate Qualitatively Different Regions in State Space. . 2017; ():1.
Chicago/Turabian StyleTim Kittel; Rebekka Koch; Jobst Heitzig; Guillaume Deffuant; Jean-Denis Mathias; Jurgen Kurths. 2017. "Operationalization of Topology of Sustainable Management to Estimate Qualitatively Different Regions in State Space." , no. : 1.
Jean-Denis Mathias; Sylvie Huet; Guillaume Deffuant. An energy-like indicator to assess opinion resilience. Physica A: Statistical Mechanics and its Applications 2017, 473, 501 -510.
AMA StyleJean-Denis Mathias, Sylvie Huet, Guillaume Deffuant. An energy-like indicator to assess opinion resilience. Physica A: Statistical Mechanics and its Applications. 2017; 473 ():501-510.
Chicago/Turabian StyleJean-Denis Mathias; Sylvie Huet; Guillaume Deffuant. 2017. "An energy-like indicator to assess opinion resilience." Physica A: Statistical Mechanics and its Applications 473, no. : 501-510.
Jean-Denis Mathias; Steven Lade; Victor Galaz. Multi-level policies and adaptive social networks – a conceptual modeling study for maintaining a polycentric governance system. International Journal of the Commons 2017, 11, 220 .
AMA StyleJean-Denis Mathias, Steven Lade, Victor Galaz. Multi-level policies and adaptive social networks – a conceptual modeling study for maintaining a polycentric governance system. International Journal of the Commons. 2017; 11 (1):220.
Chicago/Turabian StyleJean-Denis Mathias; Steven Lade; Victor Galaz. 2017. "Multi-level policies and adaptive social networks – a conceptual modeling study for maintaining a polycentric governance system." International Journal of the Commons 11, no. 1: 220.
The planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design.
Jean-Denis Mathias; John M. Anderies; Marco A. Janssen. On our rapidly shrinking capacity to comply with the planetary boundaries on climate change. Scientific Reports 2017, 7, srep42061 .
AMA StyleJean-Denis Mathias, John M. Anderies, Marco A. Janssen. On our rapidly shrinking capacity to comply with the planetary boundaries on climate change. Scientific Reports. 2017; 7 (1):srep42061.
Chicago/Turabian StyleJean-Denis Mathias; John M. Anderies; Marco A. Janssen. 2017. "On our rapidly shrinking capacity to comply with the planetary boundaries on climate change." Scientific Reports 7, no. 1: srep42061.
Comparative decision making process is widely used to identify which option (system, product, service, etc.) has smaller environmental footprints and for providing recommendations that help stakeholders take future decisions. However, the uncertainty problem complicates the comparison and the decision making. Probability-based decision support in LCA is a way to help stakeholders in their decision-making process. It calculates the decision confidence probability which expresses the probability of a option to have a smaller environmental impact than the one of another option. Here we apply the reliability theory to approximate the decision confidence probability. We compare the traditional Monte Carlo method with a reliability method called FORM method. The Monte Carlo method needs high computational time to calculate the decision confidence probability. The FORM method enables us to approximate the decision confidence probability with fewer simulations than the Monte Carlo method by approximating the response surface. Moreover, the FORM method calculates the associated importance factors that correspond to a sensitivity analysis in relation to the probability. The importance factors allow stakeholders to determine which factors influence their decision. Our results clearly show that the reliability method provides additional useful information to stakeholders as well as it reduces the computational time.
Wei Wei; Pyrène Larrey-Lassalle; Thierry Faure; Nicolas Dumoulin; Philippe Roux; Jean-Denis Mathias. Using the Reliability Theory for Assessing the Decision Confidence Probability for Comparative Life Cycle Assessments. Environmental Science & Technology 2016, 50, 2272 -2280.
AMA StyleWei Wei, Pyrène Larrey-Lassalle, Thierry Faure, Nicolas Dumoulin, Philippe Roux, Jean-Denis Mathias. Using the Reliability Theory for Assessing the Decision Confidence Probability for Comparative Life Cycle Assessments. Environmental Science & Technology. 2016; 50 (5):2272-2280.
Chicago/Turabian StyleWei Wei; Pyrène Larrey-Lassalle; Thierry Faure; Nicolas Dumoulin; Philippe Roux; Jean-Denis Mathias. 2016. "Using the Reliability Theory for Assessing the Decision Confidence Probability for Comparative Life Cycle Assessments." Environmental Science & Technology 50, no. 5: 2272-2280.
Computing a viability kernel consumes time and memory resources which increase exponentially with the dimension of the problem. This curse of dimensionality strongly limits the applicability of this approach, otherwise promising. We report here an attempt to tackle this problem with Graphics Processing Units (GPU). We design and implement a version of the viability kernel algorithm suitable for General Purpose GPU (GPGPU) computing using Nvidia’s architecture, CUDA (Computing Unified Device Architecture). Different parts of the algorithm are parallelized on the GPU device and we test the algorithm on a dynamical system of theoretical population growth. We study computing time gains as a function of the number of dimensions and the accuracy of the grid covering the state space. The speed factor reaches up to 20 with the GPU version compared to the Central Processing Unit (CPU) version, making the approach more applicable to problems in 4 to 7 dimensions. We use the GPU version of the algorithm to compute viability kernel of bycatch fishery management problems up to 6 dimensions.
Antoine Brias; Jean-Denis Mathias; Guillaume Deffuant. Accelerating viability kernel computation with CUDA architecture: application to bycatch fishery management. Computational Management Science 2016, 13, 371 -391.
AMA StyleAntoine Brias, Jean-Denis Mathias, Guillaume Deffuant. Accelerating viability kernel computation with CUDA architecture: application to bycatch fishery management. Computational Management Science. 2016; 13 (3):371-391.
Chicago/Turabian StyleAntoine Brias; Jean-Denis Mathias; Guillaume Deffuant. 2016. "Accelerating viability kernel computation with CUDA architecture: application to bycatch fishery management." Computational Management Science 13, no. 3: 371-391.
A. Brias; Jean-Denis Mathias; G. Deffuant. Computing the reliability kernel of a time-variant system: Application to a corroded beam. IFAC-PapersOnLine 2016, 49, 151 -155.
AMA StyleA. Brias, Jean-Denis Mathias, G. Deffuant. Computing the reliability kernel of a time-variant system: Application to a corroded beam. IFAC-PapersOnLine. 2016; 49 (12):151-155.
Chicago/Turabian StyleA. Brias; Jean-Denis Mathias; G. Deffuant. 2016. "Computing the reliability kernel of a time-variant system: Application to a corroded beam." IFAC-PapersOnLine 49, no. 12: 151-155.
The bounded confidence model and its variants applied to moderate and extremist agents exhibit three types of attractors: central clusters, double extreme and single extreme clusters. These attractors are observed when the models include a dynamics on the uncertainties tending to decrease the moderate uncertainties when interacting with extremists. We show here that a new stationary state appears when the uncertainties are fixed, for large uncertainties of the moderates. In this stationary state, the opinions of moderate agents keep fluctuating without clustering, altogether forming a stable density which shape changes significantly when the parameters vary.
Jean-Denis Mathias; Sylvie Huet; Guillaume Deffuant. Bounded Confidence Model with Fixed Uncertainties and Extremists: The Opinions Can Keep Fluctuating Indefinitely. Journal of Artificial Societies and Social Simulation 2016, 19, 1 .
AMA StyleJean-Denis Mathias, Sylvie Huet, Guillaume Deffuant. Bounded Confidence Model with Fixed Uncertainties and Extremists: The Opinions Can Keep Fluctuating Indefinitely. Journal of Artificial Societies and Social Simulation. 2016; 19 (1):1.
Chicago/Turabian StyleJean-Denis Mathias; Sylvie Huet; Guillaume Deffuant. 2016. "Bounded Confidence Model with Fixed Uncertainties and Extremists: The Opinions Can Keep Fluctuating Indefinitely." Journal of Artificial Societies and Social Simulation 19, no. 1: 1.
Charles Rougé; Jean-Denis Mathias; Guillaume Deffuant. Vulnerability: From the conceptual to the operational using a dynamical system perspective. Environmental Modelling & Software 2015, 73, 218 -230.
AMA StyleCharles Rougé, Jean-Denis Mathias, Guillaume Deffuant. Vulnerability: From the conceptual to the operational using a dynamical system perspective. Environmental Modelling & Software. 2015; 73 ():218-230.
Chicago/Turabian StyleCharles Rougé; Jean-Denis Mathias; Guillaume Deffuant. 2015. "Vulnerability: From the conceptual to the operational using a dynamical system perspective." Environmental Modelling & Software 73, no. : 218-230.