Article
Physics, Multidisciplinary
Wang Jinghui, Lv Wei, Jiang Yajuan, Qin Shuangshuang, Li Jiawei
Summary: This paper proposes a multi-agent based cellular automata model for simulating complex transportation systems, with rules designed for different traffic scenarios. Simulation results show that the induction control strategy outperforms the traditional fixed time control strategy in traffic control effectiveness, leading to faster average vehicle speed, shorter travel time, and queue length.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Alastair J. Clements, Nabil T. Fadai
Summary: This article presents an agent-based modelling framework to describe the qualitative features of populations engaged in riotous behavior. The framework provides a better understanding of the propagation of riots and helps to limit physical and financial damages.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Energy & Fuels
Mingxuan Mao, Siyu Chen, Jinyue Yan
Summary: This paper proposes a dynamic modelling of two-lane pavement photovoltaic arrays based on cellular automata theory, and explores the influence of random vehicle shadows on the output characteristics. A mathematical model of two-lane pavement PV arrays considering bypass diodes and blocking diodes is established. An asymmetric two-lane Nagel-Scheckenberg (ATNS) model is introduced to characterize the change of irradiation intensity caused by vehicle shadows. Simulations and experiments show that the slowing probability and shading degree significantly affect the output characteristics, and the dynamic random vehicle shadows result in a changing multi-peak state of the power-voltage curve.
Article
Engineering, Multidisciplinary
Jian Tang, Siddhant Kumar, Laura De Lorenzis, Ehsan Hosseini
Summary: We propose Neural Cellular Automata (NCA) for simulating microstructure development in the solidification process of metals. NCA, based on convolutional neural networks, can learn essential features of solidification and are much faster than conventional Cellular Automata (CA). Notably, NCA can make reliable predictions beyond their training range, indicating their understanding of the physics of solidification. While CA data is used for training in this study, NCA can be trained on any microstructural simulation data, such as phase-field models.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Shahid Yousaf, Hafiz Mahfooz Ul Haque, Muhammad Atif, Muhammad Adnan Hashmi, Abbas Khalid, Phan Cong Vinh
Summary: The rapid proliferation of intelligent devices and autonomous software technologies has significantly influenced human life, making it smarter, more efficient, flexible, comfortable, and secure. However, due to resource limitations, there are still challenges for real-time deployment in highly decentralized environments.
INTERNET OF THINGS
(2023)
Article
Computer Science, Artificial Intelligence
Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son
Summary: The paper investigates the mA* action language for representing and reasoning about actions and change in multi-agent domains. It serves as a specification language for epistemic planning, addressing an important issue in the development of multi-agent epistemic planning systems. The mA* action language is a generalization of single-agent action languages to the case of multi-agent domains.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos
Summary: Researchers have used multi-agent reinforcement learning to improve the discovery of turbulence models, with promising results. This approach can estimate unresolved subgrid-scale physics and generalize well across different grid sizes and flow conditions.
NATURE MACHINE INTELLIGENCE
(2021)
Article
Engineering, Geological
Rene Gomez, Raill Castro
Summary: This article proposes a model for simulating the vertical stresses of granular material under static and dynamic flow conditions, developed within a gravity flow simulator based on cellular automata. After testing and calibration, the model can accurately simulate the vertical stresses under different flow setups and has the potential to be applied at block caving scale.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2022)
Article
Biology
Bruno Perez, Christophe Lang, Julien Henriet, Laurent Philippe, Frederic Auber
Summary: This paper introduces an architecture that combines a Multi-Agent System with Case-Based Reasoning to manage risks in an operating room during surgical procedures. By simulating various situations and analyzing data, the system can determine alert thresholds that are not predefined and shows that the proposed thresholds are more efficient.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Environmental Studies
Felix S. K. Agyemang, Elisabete Silva, Sean Fox
Summary: The global urban population is expected to increase by 2.5 billion people in the next three decades, with 90% of this growth projected to occur in African and Asian countries. This urban expansion, often referred to as 'informal urbanization', is characterized by self-built housing without planning permission, particularly in regions where property rights are ambiguous or disputed. Despite its significant scale, informal urbanization has received limited attention from scholars in the field of urban analytics and city science. To address this research gap, the authors introduce TI-City, an urban growth model that aims to predict the locations, legal status, and socio-economic background of future residential developments in an African city. The model utilizes a bottom-up approach, combining agent-based and cellular automata modeling techniques to simulate the behaviors of various urban development actors, including households, real estate developers, and the government. The model is applied to the city-region of Accra, Ghana, and validated against the highly popular urban growth model SLEUTH. Results show that TI-City outperforms SLEUTH at multiple spatial scales, indicating its potential value as a decision support tool in similar urban contexts.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Education & Educational Research
Corey Brady
Summary: This paper discusses the potential benefits of recognizing the power of the Patch agent in the NetLogo modeling environment for Constructionist research and practice. It highlights the importance of utilizing an aesthetically driven approach to enhance students' understanding of Patch agents and their expressive potential. Furthermore, it emphasizes the value of participatory activities in fostering students' ability to adopt the Patch perspective collectively.
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY
(2021)
Article
Engineering, Civil
M. Azizipour, A. Sattari, M. H. Afshar, E. Goharian
Summary: Cellular Automata (CA) has been proven as a powerful tool for optimizing energy yield in hydropower systems. This study utilizes a CA-based method to iteratively adjust installed capacities and reservoir storages in multi-reservoir systems to improve system reliability, achieving efficient and practical optimization results.
JOURNAL OF HYDROLOGY
(2022)
Article
Chemistry, Physical
Jaroslaw Opara, Boris Straumal, Pawel Zieba
Summary: This study presents the fundamentals of modelling discontinuous precipitation (DP) reactions using cellular automata method, defining cell states, internal variables, equations, and transition rules to predict mass transport and relate microstructural changes with chemical composition changes. The developed CA model successfully simulated the DP reaction and visualized migrating reaction fronts and associated chemical composition changes in the microstructure.
Article
Environmental Sciences
Peng Shu Ng, Miguel Morales Maqueda, Kheng Lim Goh
Summary: This article introduces a novel Cellular Automata (CA) model for predicting the transportation of buoyant marine plastics. The CA model provides a simpler and more affordable approach compared to computationally intensive Lagrangian particle-tracking models. The model examines the transportation of marine plastics using well-defined, probabilistic rules governing advection and diffusion processes. It was found that a high percentage of buoyant plastics are located in the Indian and North Pacific gyres, which agrees with previous results from particle-tracking models. The CA model could serve as a useful rapid-scenario assessment tool for estimating marine plastic pollution before further in-depth studies on effective mitigation measures.
MARINE POLLUTION BULLETIN
(2023)
Article
Engineering, Civil
M. A. Bonora, G. Capano, A. De Rango, Mario Maiolo
Summary: This paper presents a new Eulerian Water quAlity Modeling-Cellular Automata (EWAM-CA) model for simulating the injection, transport, and reaction of sodium hypochlorite in a water distribution network. By incorporating parallel computing and asynchronous rules, the EWAM-CA model significantly improves computational efficiency and performance.
WATER RESOURCES MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Takuya Iwanaga, Hsiao-Hsuan Wang, Serena H. Hamilton, Volker Grimm, Tomasz E. Koralewski, Alejandro Salado, Sondoss Elsawah, Saman Razavi, Jing Yang, Pierre Glynn, Jennifer Badham, Alexey Voinov, Min Chen, William E. Grant, Tarla Rai Peterson, Karin Frank, Gary Shenk, C. Michael Barton, Anthony J. Jakeman, John C. Little
Summary: System-of-systems approaches have become popular for integrated assessments, involving the integration of models from various disciplines to inform policy and decision-making processes. However, current modeling paradigms have disciplinary-specific origins, leading to inconsistencies in the conceptualization and integration of socio-environmental systems. A multidisciplinary team of researchers calls for a grand vision for holistic system-of-systems research to address major socio-environmental problems through multi-tiered collaboration.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Saman Razavi, Anthony Jakeman, Andrea Saltelli, Clementine Prieur, Bertrand Iooss, Emanuele Borgonovo, Elmar Plischke, Samuele Lo Piano, Takuya Iwanaga, William Becker, Stefano Tarantola, Joseph H. A. Guillaume, John Jakeman, Hoshin Gupta, Nicola Melillo, Giovanni Rabitti, Vincent Chabridon, Qingyun Duan, Xifu Sun, Stefan Smith, Razi Sheikholeslami, Nasim Hosseini, Masoud Asadzadeh, Arnald Puy, Sergei Kucherenko, Holger R. Maier
Summary: Sensitivity analysis is becoming an essential part of mathematical modeling, with untapped potential benefits for both mechanistic and data-driven modeling as well as decision making. This perspective paper revisits the current status of SA and outlines research challenges in various areas, emphasizing the need for structuring and standardizing SA as a discipline, tapping into its potential for systems modeling, addressing computational burdens, progressing SA in the context of machine learning, clarifying its relationship with uncertainty quantification, and evolving its use in decision making. An outlook for the future of SA is provided to better serve science and society.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Takuya Iwanaga, Xifu Sun, Qian Wang, Joseph H. A. Guillaume, Barry F. W. Croke, Joel Rahman, Anthony J. Jakeman
Summary: Diagnostic testing often uses sensitivity analysis to assess model behavior correctness. Sensitivity analysis can provide evidence of expected conceptual relationships between model factors through examining parameter sensitivities. Unexpected results may indicate issues to be corrected, and the PbSA approach is scalable and can complement existing testing practices.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Engineering, Civil
Fateme Zare, Joseph H. A. Guillaume, Sondoss ElSawah, Barry Croke, Baihua Fu, Takuya Iwanaga, Wendy Merritt, Daniel Partington, Jenifer Ticehurst, Anthony J. Jakeman
Summary: Recent literature highlights the importance of monitoring and evaluating the problem-solving process itself, especially in interdisciplinary team settings. By reflecting on decisions, reasons, influences, and effects, this evaluation can improve stakeholder and researcher learning. A formative, self-reflective M&E process was designed and successfully applied to an integrated assessment and modeling project in Australia, leading to improved project adaptability and effectiveness.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Ruirui Zhu, Hongxing Zheng, Anthony J. Jakeman, Lu Zhang
Summary: This study investigates the groundwater dynamics in eight catchments in the headwater region of the Murray-Darling Basin in Australia, using a tracer-aided approach to quantify the relationships between groundwater storage and discharge. The research reveals robust nonlinear relationships between groundwater storage and discharge, as well as synchronization between groundwater storage dynamics and regional climate.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Diba Ghonchepour, Amir Sadoddin, Abdolreza Bahremand, Barry Croke, Anthony Jakeman, Abdolrassoul Salmanmahiny
Summary: This study introduces a process for exploring hydrological models to select the most suitable one for modeling objectives, involving initial choice, model intercomparison, and final selection based on influencing criteria. The criteria for the final choice of hydrological model were categorized into three groups: model-related, user-related, and area-related criteria.
NATURAL RESOURCE MODELING
(2021)
Article
Engineering, Industrial
Xifu Sun, Barry Croke, Stephen Roberts, Anthony Jakeman
Summary: This paper introduces an alternative method for randomizing Sobol' sequences, known as the Column Shift method, which improves uncertainty estimation of sensitivity indices. Compared to commonly used randomization methods, the Column Shift method provides more reliable and consistent results with higher accuracy, effectively addressing error spikes caused by determinism within the Sobol' sequence. The inclusion of standard error in the mean of sensitivity indices in replicates analysis is also discussed to indicate underestimation of errors in simulation results, along with the relationship between the number of samples and replicates.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Interdisciplinary Applications
Serena H. Hamilton, Carmel A. Pollino, Danial S. Stratford, Baihua Fu, Anthony J. Jakeman
Summary: This article proposes a practical framework that considers fitness-for-purpose modeling as the intersection of usefulness, reliability, and feasibility requirements. By applying this framework, environmental models that effectively bridge science and management can be designed and developed.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
Qian Wang, Joseph H. A. Guillaume, John D. Jakeman, Tao Yang, Takuya Iwanaga, Barry Croke, Anthony J. Jakeman
Summary: Despite the widespread use of factor fixing in environmental modeling, its impact on model predictions has been overlooked. This study proposes an adaptive method for investigating the effect of factor fixing and demonstrates that it can lead to unexpected large errors in model results.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
Andrea Saltelli, Anthony Jakeman, Saman Razavi, Qiongli Wu
Summary: Sensitivity analysis as a key component of scientific development and policy support has been rapidly evolving over the past three decades. Researchers and practitioners from various disciplines have contributed to the development of sensitivity analysis, fostering a community culture through conferences. The field is now maturing into an independent science with emerging applications in new areas such as data science and machine learning.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Xifu Sun, Barry Croke, Anthony Jakeman, Stephen Roberts
Summary: Active Subspaces is a recently developed concept that identifies essential directions of the response surface, providing sensitivity metrics known as activity scores. Comparisons with other global methods show that activity scoring is accurate and computationally efficient in most cases.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Environmental Sciences
Dongqin Yin, Xiang Li, Fang Wang, Yang Liu, Barry F. W. J. Croke, Anthony Jakeman
Summary: This study focuses on the optimal operation and scientific management of a complicated water resources system in a regulated river with cascaded small hydropower plants and inter-basin water diversion projects. The research established a nexus system model that considers water resources utilization, energy production, and riverine environmental conservation as the main objectives, using weighted multi-objective programming. Furthermore, the study estimated environmental flows and assessed the environmental impact on the river, conducted optimizations and analyses for multiple scenarios using historical runoff data, and quantitatively identified sectoral linkages relating to the water-energy-ecosystem nexus.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Review
Environmental Sciences
Daniel Partington, Mark Thyer, Margaret Shanafield, David McInerney, Seth Westra, Holger Maier, Craig Simmons, Barry Croke, Anthony John Jakeman, Hoshin Gupta, Dmitri Kavetski
Summary: Wildfires cause diverse hydrological changes that affect water quantity and quality. It is necessary to assess the implications of increasing wildfire frequency and severity on hydrological response. Physically based models are likely to become more important due to their ability to simulate simultaneous changes to multiple processes, but they require more data and have lower computational speed. Combining physically based models with computationally faster conceptual and reduced-order models can lead to advances in predicting hydrological impacts from wildfires.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2022)
Article
Water Resources
Caroline Rosello, J. H. A. Guillaume, P. Taylor, S. Cuddy, C. Pollino, A. J. Jakeman
Summary: Integrated Assessment Models (IAMs) were initially developed for climate change decisions but have limited application due to their inability to manage deep uncertainty. Augmenting existing models and providing guidance is necessary for decision support.
FRONTIERS IN WATER
(2022)
Article
Environmental Sciences
Takuya Iwanaga, Hsiao-Hsuan Wang, Tomasz E. Koralewski, William E. Grant, Anthony J. Jakeman, John C. Little
Summary: Modeling in interconnected socioenvironmental systems (SES) requires interdisciplinary collaboration to address issues of model complexity and uncertainty. Isolated team members may face challenges in conceptualizing scale. Reflecting on two case studies can provide lessons such as promoting collaborative learning, documenting rationale for scale choices, and embracing change.
ELEMENTA-SCIENCE OF THE ANTHROPOCENE
(2021)
Article
Computer Science, Interdisciplinary Applications
Vitaly Chernik, Pavel Buklemishev
Summary: The paper introduces a simple 2D model for describing the cell motility on a homogeneous isotropic surface. The model incorporates the dynamics of complex actomyosin liquid, which affects the boundary dynamics and cell motility. It consists of a system of equations with a free boundary domain and includes a non-local term. The numerical solution of this model is presented in this work.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Hasan Karjoun, Abdelaziz Beljadid
Summary: In this study, we developed a numerical model based on the depth-averaged shallow water equations to simulate flows through vegetation field. The model takes into account the drag and inertia forces induced by vegetation, using different formulations for the stem drag coefficient. Turbulence induced by vegetation is also considered through the addition of diffusion terms in the momentum equations. The proposed numerical model is validated through numerical simulations and shows good accuracy in simulating overland flows under vegetation effects.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Bechir Naffeti, Hamadi Ammar, Walid Ben Aribi
Summary: This paper proposes a branch and bound multidimensional Holder optimization method, which converts a multivariate objective function into a single variable function and minimizes it using an iterative optimization method. The method is applied to solve a parameters identification problem resulting from the increase in infections, providing information about the prevalence and infection force.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Heba F. Eid, Erik Cuevas, Romany F. Mansour
Summary: The proposed modified Bonobo optimizer algorithm dynamically adjusts the trajectory of each search agent to overcome the flaw of the original algorithm and improve the performance and solution quality by exploring and exploiting different regions of the solution space.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Farshid Mehrdoust, Idin Noorani, Juho Kanniainen
Summary: This paper proposes a Markov-switching model to evaluate the dynamics of commodity futures and spot prices, and introduces a hidden Markov chain to model the sudden jumps in commodity prices. The model is calibrated using the crude oil spot price and estimation-maximization algorithm. The study also evaluates European call options written on crude oil futures under the regime-switching model and derives Greek formulas for risk assessment. The importance of this paper is rated at 8 out of 10.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Rupa Mishra, Tapas Kumar Saha
Summary: This paper presents a control scheme for distributed generation units to operate in stand-alone and grid-connected modes, with a smooth transition between the two. The control strategy includes predictive control for voltage and frequency regulation in stand-alone mode, and power control for symmetrical and unbalanced grid voltage conditions in grid-connected mode. The proposed control method improves power factor, reduces grid current harmonics, and eliminates grid frequency ripple.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yu Wang, Yang Tian, Yida Guo, Haoping Wang
Summary: This paper proposes a multi-level control strategy for lower limb patient-exoskeleton coupling system (LLPECS) in rehabilitation training based on active torque. The controller consists of three sub-controllers: gait adjustment layer, interaction torque design layer, and trajectory tracking layer. The effectiveness of the proposed control strategy is demonstrated through co-simulations in the SimMechanics environment using an exoskeleton virtual prototype developed in SolidWorks.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Takuji Arai, Yuto Imai
Summary: The Barndorff-Nielsen and Shephard model is a jump-type stochastic volatility model, and this paper proposes two simulation methods for computing option prices under a representative martingale measure. The performance of these methods is evaluated through numerical experiments.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Wanai Li
Summary: This paper proposes a new framework that combines quadrature-based and quadrature-free discontinuous Galerkin methods and applies them to triangular and tetrahedral grids. Four different DG schemes are derived by choosing specific test functions and collocation points, improving computational efficiency and ease of code implementation.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiyuan Chen, Qiubao Wang
Summary: This paper introduces a technique that combines dynamical mechanisms and machine learning to reduce dimensionality in high-dimensional complex systems. The method utilizes Hopf bifurcation theory to establish a model paradigm and utilizes machine learning to train location parameters. The effectiveness and robustness of the proposed method are tested and validated through experiments and simulations.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Muhammad Farman, Aqeel Ahmad, Anum Zehra, Kottakkaran Sooppy Nisar, Evren Hincal, Ali Akgul
Summary: Diabetes is a significant public health issue that affects millions of people worldwide. This study proposes a mathematical model to understand the mechanisms of glucose homeostasis, providing valuable insights for diabetes management. The model incorporates fractional operators and analyzes the impact of a new wave of dynamical transmission on equilibrium points, offering a comprehensive understanding of glucose homeostasis.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Gholamreza Shobeyri
Summary: This study introduces two improved Laplacian models for more accurate simulation of free surface flows in the context of the MPS method. The higher accuracy of these models compared to the traditional methods is verified through solving 2D Poisson equations and solving three benchmark free surface flow problems. These models can also resolve the issue of wave damping in the original MPS computations.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Qiang Li, Jinling Liang, Weiqiang Gong, Kai Wang, Jinling Wang
Summary: This paper addresses the problem of nonfragile state estimation for semi-Markovian switching complex-valued networks with time-varying delay. By constructing an event-triggered generator and solving matrix inequalities, less conservative criteria are obtained, and the gains of the nonfragile estimator are explicitly designed. A numerical example is provided to demonstrate the effectiveness of the proposed estimation scheme.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Gengen Zhang, Jingyu Li, Qiong-Ao Huang
Summary: In this paper, a novel class of unconditionally energy stable schemes are constructed for solving gradient flow models by combining the relaxed scalar auxiliary variable (SAV) approach with the linear multistep technique. The proposed schemes achieve second-order temporal accuracy and strictly unconditional energy stability.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
S. Clain, J. Figueiredo
Summary: This study proposes a detailed construction of a very high-order polynomial representation and introduces a functional to assess the quality of the reconstruction. Several optimization techniques are implemented and their advantages in terms of accuracy and stability are demonstrated.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
