Article
Multidisciplinary Sciences
Jaime Cascante-Vega, Samuel Torres-Florez, Juan Cordovez, Mauricio Santos-Vega
Summary: This study proposes a theoretical framework that combines transmission dynamics with behavioral dynamics, and through modeling and experimental results, it is found that individual infection awareness and behavioral adaptability have important effects on disease transmission.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Article
Mathematics, Applied
Madhuri Majumder, Pankaj Kumar Tiwari, Samares Pal
Summary: An HIV/AIDS transmission model is constructed and analyzed in this study, taking into account spontaneous change in human behavior and the impact of human awareness. The study finds that human awareness plays a crucial role in controlling HIV epidemic, and effective treatment strategies can effectively curb the disease.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Urban Studies
Fathi Said Hassen, Mahdi Kalla, Hadda Dridi
Summary: According to a UN report, 23.5% of the urban population worldwide lived in informal houses in 2018, with over 1 billion people residing in slums and an estimated 3 billion people requiring affordable housing by 2030. This research employs game theory to model the conflict surrounding slums, identifying parameters that influence decision-making and proposing a management model to mitigate the spread of informal housing. The findings offer decision-makers a tool to better manage and monitor the evolution of informal houses.
Article
Computer Science, Interdisciplinary Applications
Cassio Giorgio Couto Coelho, Celia Ghedini Ralha
Summary: Studying the interactions of entities in human society in relation to land exploration and occupation is crucial for understanding land use/cover change in landscape ecology. By using an agent-based decision model and evolutionary game theory, researchers found that peer-to-peer interactions among agents may influence the final land usage and conversion of natural systems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Computer Science, Artificial Intelligence
Hossein Yarahmadi, Mohammad Ebrahim Shiri, Hamidreza Navidi, Arash Sharifi, Moharram Challenger
Summary: This study proposes a method to solve the problem of credit assignment in multi-agent reinforcement learning. The problem is transformed into a bankruptcy game using a mixed strategy. Multiple credit assignment instances are generated and the best one is selected using evolutionary games. The proposed method performs well in group learning rate, confidence, expertness, and correctness.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Computer Science, Artificial Intelligence
Xiaochao Wei, Haobo Gong, Lin Song
Summary: The popularity of mobile social media has facilitated the diffusion of online new products. However, previous research has overlooked the dynamic social networks formed by consumer interactions. This study integrates the gravitational field theory and evolutionary game to propose a Brownian agent simulation model, investigating the impact of varying-weight social networks on online new product diffusion.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Industrial
Sunyue Geng, Sifeng Liu, Zhigeng Fang, Su Gao
Summary: Agent technology is utilized to model satellites as autonomous and responsive agents to handle diverse demands in satellite networks. The proposed framework incorporates clustering technique and game theory to address issues related to efficiency, scalability, and management complexity in large-scale networks. The hierarchical structure and novel efficiency indicator play crucial roles in assessing and optimizing network performance, while the clustering network framework and collaborative routing scheme contribute to stability, scalability, and optimal routing solutions. Overall, the proposed framework demonstrates superior reliability improvement, energy efficiency, and low network delay compared to existing algorithms.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Environmental Sciences
Cheng Feng, Xiongjun Fu, Ziyi Wang, Jian Dong, Zhichun Zhao, Teng Pan
Summary: In this paper, an optimization method based on multi-agent reinforcement learning is proposed for the collaborative detection and antijamming tasks of multiple radars against one naval vessel. By considering the temporal constraints and adopting a game-theoretic approach, the proposed method helps the radars to collaboratively detect the naval vessel and improve the detection accuracy.
Article
Immunology
Qin Fan, Jiafeng Zhang, Mingyu Luo, Yi Feng, Rui Ge, Yong Yan, Ping Zhong, Xiaobei Ding, Yan Xia, Zhihong Guo, Xiaohong Pan, Chengliang Chai
Summary: This study conducted a detailed molecular epidemiological analysis of HIV-1 epidemic strains in different sexual risk behavior groups, highlighting the rapid transmission and importance of CRF07_BC among men who have sex with men (MSM).
EMERGING MICROBES & INFECTIONS
(2022)
Article
Biochemical Research Methods
Robert Hinch, William J. M. Probert, Anel Nurtay, Michelle Kendall, Chris Wymant, Matthew Hall, Katrina Lythgoe, Ana Bulas Cruz, Lele Zhao, Andrea Stewart, Luca Ferretti, Daniel Montero, James Warren, Nicole Mather, Matthew Abueg, Neo Wu, Olivier Legat, Katie Bentley, Thomas Mead, Kelvin Van-Vuuren, Dylan Feldner-Busztin, Tommaso Ristori, Anthony Finkelstein, David G. Bonsall, Lucie Abeler-Dorner, Christophe Fraser
Summary: OpenABM-Covid19 is a detailed epidemic model that simulates the spread of COVID-19 in a population of individuals. It allows scientists and policymakers to quickly compare the effectiveness of non-pharmaceutical interventions and provides accurate simulation results.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Energy & Fuels
Bizhan Nemati, Seyed Mohammad Hassan Hosseini
Summary: Demand-side management resources, such as demand response programs (DRPs), are effective options for reducing energy costs. Long-term modeling is necessary for utilizing these resources in studies like generation and transmission expansion planning (GTEP). This article develops a GTEP considering a long-term model of DRPs using a cooperative game theory approach to minimize the total cost of microgrids (MGs), incorporating a two-level decision-making method and self-sufficiency index.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Mathematics, Applied
Mingwu Wang, Yan Wang, Fengqiang Shen, Juliang Jin
Summary: A novel classification approach based on the integrated connection cloud model and game theory was proposed to accurately describe fuzzy indicators randomly distributed in finite intervals, overcoming the complexities associated with the one-dimensional cloud model. The method was verified to be effective and feasible in application to the classification of surrounding rock stability, presenting better computational efficiency compared to traditional methods.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Engineering, Chemical
Chulwook Park
Summary: This paper proposes a mechanism for obtaining behavioral structures by simulating network-agent dynamics in an evolutionary public good game with available social learning. Relative payoffs and mutation play significant roles in the evolution of player strategies.
Article
Computer Science, Artificial Intelligence
Stefanos Leonardos, Georgios Piliouras
Summary: This study explores exploration-exploitation in multi-agent learning and proposes a smooth analogue of Q-learning model. The research finds that smooth Q-learning has bounded regret in arbitrary games and converges to quantal-response equilibria in arbitrary weighted potential games. Furthermore, the study discovers the significant impact of exploration on collective system performance, where even a small change in the exploration parameter can cause radical changes in system behavior.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Electrical & Electronic
Shunping Jin, Shoupeng Wang, Fang Fang
Summary: This paper establishes a microgrid structure based on a multi-agent system using a game theory-based optimization model to analyze the economic interests and actions between agents. Through numerical testing, it shows that under a cooperative game, investors' profits increase while total configured capacities decrease compared to a non-cooperative game.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Biology
Iain Hunter, Raz Leib
Summary: Natural movement is related to health, but it is difficult to measure. Existing methods cannot capture the full range of natural movement. Comparing movement across different species helps identify common biomechanical and computational principles. Developing a system to quantify movement in freely moving animals in natural environments and relating it to life quality is crucial. This study proposes a theoretical framework based on movement ability and validates it in Drosophila.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Andy Gardner
Summary: Fisher's geometric model is a useful tool for predicting key properties of Darwinian adaptation, and here it is applied to predict differences between the evolution of altruistic versus nonsocial phenotypes. The results suggest that the effect size maximizing probability of fixation is smaller in the context of altruism and larger in the context of nonsocial phenotypes, leading to lower overall probability of fixation for altruism and higher overall probability of fixation for nonsocial phenotypes.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Thomas F. Pak, Joe Pitt-Francis, Ruth E. Baker
Summary: Cell competition is a process where cells interact in multicellular organisms to determine a winner or loser status, with loser cells being eliminated through programmed cell death. The winner cells then populate the tissue. The outcome of cell competition is context-dependent, as the same cell type can win or lose depending on the competing cell type. This paper proposes a mathematical framework to study the emergence of winner or loser status, highlighting the role of active cell death and identifying the factors that drive cell competition in a cell-based modeling context.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Haruto Tomizuka, Yuuya Tachiki
Summary: Batesian mimicry is a strategy in which palatable prey species resemble unpalatable prey species to avoid predation. The evolution of this mimicry plays a crucial role in protecting the unpalatable species from extinction.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Jason W. Olejarz, Martin A. Nowak
Summary: Gene drive technology shows potential for population control, but its release may have unpredictable consequences. The study suggests that the failure of suppression is a natural outcome, and there are complex dynamics among wild populations.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Hamid Ravaee, Mohammad Hossein Manshaei, Mehran Safayani, Javad Salimi Sartakhti
Summary: Gene expression analysis is valuable for cancer classification and phenotype identification. IP3G, based on Generative Adversarial Networks, enhances gene expression data and discovers phenotypes in an unsupervised manner. By converting gene expression profiles into images and utilizing IP3G, new phenotype profiles can be generated, improving classification accuracy.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Beatrix Rahnsch, Leila Taghizadeh
Summary: This study forecasts the evolution of the COVID-19 pandemic in Germany using a network-based inference method and compares it with other approaches. The results show that the network-inference based approach outperforms other methods in short-to mid-term predictions, even with limited information about the new disease. Furthermore, predictions based on the estimation of the reproduction number in Germany can yield more reliable results with increasing data availability, but still cannot surpass the network-inference based algorithm.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Rongsheng Huang, Qiaojun Situ, Jinzhi Lei
Summary: Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. Random inheritance of epigenetic states plays a pivotal role in stem cell differentiation. This computational model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming, offering a promising path for enhancing the field of regenerative medicine.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Patrick Vincent N. Lubenia, Eduardo R. Mendoza, Angelyn R. Lao
Summary: This study compares insulin signaling in healthy and type 2 diabetes states using reaction network analysis. The results show similarities and differences between the two conditions, providing insights into the mechanisms of insulin resistance, including the involvement of other complexes, less restrictive interplay between species, and loss of concentration robustness in GLUT4.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Nuverah Mohsin, Heiko Enderling, Renee Brady-Nicholls, Mohammad U. Zahid
Summary: Mathematical modeling is crucial in understanding radiobiology and designing treatment approaches in radiotherapy for cancer. This study compares three tumor volume dynamics models and analyzes the implications of model selection. A new metric, the point of maximum reduction of tumor volume (MRV), is introduced to quantify the impact of radiotherapy. The results emphasize the importance of caution in selecting models of response to radiotherapy due to the artifacts imposed by each model.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Armindo Salvador
Summary: Michael Savageau's Biochemical Systems Analysis papers have had a significant impact on Systems Biology, generating core concepts and tools. This article provides a brief summary of these papers and discusses the most relevant developments in Biochemical Systems Theory since their publication.
JOURNAL OF THEORETICAL BIOLOGY
(2024)