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https://www.readbyqxmd.com/read/28231255/confidence-and-self-attribution-bias-in-an-artificial-stock-market
#1
Mario A Bertella, Felipe R Pires, Henio H A Rego, Jonathas N Silva, Irena Vodenska, H Eugene Stanley
Using an agent-based model we examine the dynamics of stock price fluctuations and their rates of return in an artificial financial market composed of fundamentalist and chartist agents with and without confidence. We find that chartist agents who are confident generate higher price and rate of return volatilities than those who are not. We also find that kurtosis and skewness are lower in our simulation study of agents who are not confident. We show that the stock price and confidence index-both generated by our model-are cointegrated and that stock price affects confidence index but confidence index does not affect stock price...
2017: PloS One
https://www.readbyqxmd.com/read/28227910/development-of-a-three-dimensional-lattice-free-multiscale-model-of-the-mammary-terminal-end-bud
#2
Joseph D Butner, Vittorio Cristini, Zhihui Wang, Joseph D Butner, Vittorio Cristini, Zhihui Wang, Vittorio Cristini, Joseph D Butner, Zhihui Wang
The terminal end bud (TEB) is a bulbous structure composed of highly proliferative cells that is responsible for mammary gland development during the pubertal stage. This is a highly organized process, involving cellular differentiation hierarchies regulated by endocrine and paracrine signaling. Here, we present development of a lattice-free, three dimensional multiscale agent based model of the TEB to study the effects of cellular phenotypic hierarchies, endocrine and paracrine signaling, and proliferation demographics on pubertal mammary gland development...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28212440/emergent-inequality-and-self-organized-social-classes-in-a-network-of-power-and-frustration
#3
Benoit Mahault, Avadh Saxena, Cristiano Nisoli
We propose a simple agent-based model on a network to conceptualize the allocation of limited wealth among more abundant expectations at the interplay of power, frustration, and initiative. Concepts imported from the statistical physics of frustrated systems in and out of equilibrium allow us to compare subjective measures of frustration and satisfaction to collective measures of fairness in wealth distribution, such as the Lorenz curve and the Gini index. We find that a completely libertarian, law-of-the-jungle setting, where every agent can acquire wealth from or lose wealth to anybody else invariably leads to a complete polarization of the distribution of wealth vs...
2017: PloS One
https://www.readbyqxmd.com/read/28196372/resilience-through-adaptation
#4
Guus A Ten Broeke, George A K van Voorn, Arend Ligtenberg, Jaap Molenaar
Adaptation of agents through learning or evolution is an important component of the resilience of Complex Adaptive Systems (CAS). Without adaptation, the flexibility of such systems to cope with outside pressures would be much lower. To study the capabilities of CAS to adapt, social simulations with agent-based models (ABMs) provide a helpful tool. However, the value of ABMs for studying adaptation depends on the availability of methodologies for sensitivity analysis that can quantify resilience and adaptation in ABMs...
2017: PloS One
https://www.readbyqxmd.com/read/28193218/a-combined-model-reduction-algorithm-for-controlled-biochemical-systems
#5
Thomas J Snowden, Piet H van der Graaf, Marcus J Tindall
BACKGROUND: Systems Biology continues to produce increasingly large models of complex biochemical reaction networks. In applications requiring, for example, parameter estimation, the use of agent-based modelling approaches, or real-time simulation, this growing model complexity can present a significant hurdle. Often, however, not all portions of a model are of equal interest in a given setting. In such situations methods of model reduction offer one possible approach for addressing the issue of complexity by seeking to eliminate those portions of a pathway that can be shown to have the least effect upon the properties of interest...
February 13, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28162399/-176-agent-based-modeling-and-simulation-abms-to-elucidate-lagged-relationships-between-pain-and-sleep-interference-in-patients-with-painful-diabetic-peripheral-neuropathy-pdpn
#6
J Alexander, R Edwards, A Mahdavi, T Baggio, B Parsons
No abstract text is available yet for this article.
April 2016: Journal of Pain: Official Journal of the American Pain Society
https://www.readbyqxmd.com/read/28162397/-174-development-of-an-agent-based-modeling-and-simulation-platform-for-improving-therapeutic-outcomes-in-patients-with-painful-diabetic-peripheral-neuropathy
#7
J Alexander, R Edwards, A Mahdavi, T Baggio, B Parsons
No abstract text is available yet for this article.
April 2016: Journal of Pain: Official Journal of the American Pain Society
https://www.readbyqxmd.com/read/28155706/a-methodological-approach-for-using-high-level-petri-nets-to-model-the-immune-system-response
#8
Marzio Pennisi, Salvatore Cavalieri, Santo Motta, Francesco Pappalardo
BACKGROUND: Mathematical and computational models showed to be a very important support tool for the comprehension of the immune system response against pathogens. Models and simulations allowed to study the immune system behavior, to test biological hypotheses about diseases and infection dynamics, and to improve and optimize novel and existing drugs and vaccines. Continuous models, mainly based on differential equations, usually allow to qualitatively study the system but lack in description; conversely discrete models, such as agent based models and cellular automata, permit to describe in detail entities properties at the cost of losing most qualitative analyses...
December 22, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28141809/self-organised-criticality-in-the-evolution-of-a-thermodynamic-model-of-rodent-thermoregulatory-huddling
#9
Stuart P Wilson
A thermodynamic model of thermoregulatory huddling interactions between endotherms is developed. The model is presented as a Monte Carlo algorithm in which animals are iteratively exchanged between groups, with a probability of exchanging groups defined in terms of the temperature of the environment and the body temperatures of the animals. The temperature-dependent exchange of animals between groups is shown to reproduce a second-order critical phase transition, i.e., a smooth switch to huddling when the environment gets colder, as measured in recent experiments...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28124077/long-term-treatment-effects-in-chronic-myeloid-leukemia
#10
Apollos Besse, Thomas Lepoutre, Samuel Bernard
We propose and analyze a simplified version of a partial differential equation (PDE) model for chronic myeloid leukemia (CML) derived from an agent-based model proposed by Roeder et al. This model describes the proliferation and differentiation of leukemic stem cells in the bone marrow and the effect of the drug Imatinib on these cells. We first simplify the PDE model by noting that most of the dynamics occurs in a subspace of the original 2D state space. Then we determine the dominant eigenvalue of the corresponding linearized system that controls the long-term behavior of solutions...
January 25, 2017: Journal of Mathematical Biology
https://www.readbyqxmd.com/read/28106086/efficient-method-for-comprehensive-computation-of-agent-level-epidemic-dissemination-in-networks
#11
Gilberto M Nakamura, Ana Carolina P Monteiro, George C Cardoso, Alexandre S Martinez
Susceptible-infected (SI) and susceptible-infected-susceptible (SIS) are simple agent-based models often employed in epidemic studies. Both models describe the time evolution of infectious diseases in networks whose vertices are either susceptible (S) or infected (I) agents. Precise estimation for disease spreading is one of the major goals in epidemic studies but often restricted to heavy numerical simulations. Analytic methods using operatorial content are subject to the asymmetric eigenvalue problem, limiting the use of perturbative methods...
January 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28103260/friendship-network-and-dental-brushing-behavior-among-middle-school-students-an-agent-based-modeling-approach
#12
Maryam Sadeghipour, Mohammad Hossein Khoshnevisan, Afshin Jafari, Seyed Peyman Shariatpanahi
By using a standard questionnaire, the level of dental brushing frequency was assessed among 201 adolescent female middle school students in Tehran. The initial assessment was repeated after 5 months, in order to observe the dynamics in dental health behavior level. Logistic Regression model was used to evaluate the correlation among individuals' dental health behavior in their social network. A significant correlation on dental brushing habits was detected among groups of friends. This correlation was further spread over the network within the 5 months period...
2017: PloS One
https://www.readbyqxmd.com/read/28094523/combining-agent-based-modeling-and-life-cycle-assessment-for-the-evaluation-of-mobility-policies
#13
Florent Querini, Enrico Benetto
No abstract text is available yet for this article.
January 17, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28086846/stochastic-agent-based-modeling-of-tuberculosis-in-canadian-indigenous-communities
#14
Ashleigh R Tuite, Victor Gallant, Elaine Randell, Annie-Claude Bourgeois, Amy L Greer
BACKGROUND: In Canada, active tuberculosis (TB) disease rates remain disproportionately higher among the Indigenous population, especially among the Inuit in the north. We used mathematical modeling to evaluate how interventions might enhance existing TB control efforts in a region of Nunavut. METHODS: We developed a stochastic, agent-based model of TB transmission that captured the unique household and community structure. Evaluated interventions included: (i) rapid treatment of active cases; (ii) rapid contact tracing; (iii) expanded screening programs for latent TB infection (LTBI); and (iv) reduced household density...
January 13, 2017: BMC Public Health
https://www.readbyqxmd.com/read/28076659/an-empirical-agent-based-model-to-simulate-the-adoption-of-water-reuse-using-the-social-amplification-of-risk-framework
#15
Venu Kandiah, Andrew R Binder, Emily Z Berglund
Water reuse can serve as a sustainable alternative water source for urban areas. However, the successful implementation of large-scale water reuse projects depends on community acceptance. Because of the negative perceptions that are traditionally associated with reclaimed water, water reuse is often not considered in the development of urban water management plans. This study develops a simulation model for understanding community opinion dynamics surrounding the issue of water reuse, and how individual perceptions evolve within that context, which can help in the planning and decision-making process...
January 11, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28060865/agent-based-modeling-of-mitochondria-links-sub-cellular-dynamics-to-cellular-homeostasis-and-heterogeneity
#16
Giovanni Dalmasso, Paula Andrea Marin Zapata, Nathan Ryan Brady, Anne Hamacher-Brady
Mitochondria are semi-autonomous organelles that supply energy for cellular biochemistry through oxidative phosphorylation. Within a cell, hundreds of mobile mitochondria undergo fusion and fission events to form a dynamic network. These morphological and mobility dynamics are essential for maintaining mitochondrial functional homeostasis, and alterations both impact and reflect cellular stress states. Mitochondrial homeostasis is further dependent on production (biogenesis) and the removal of damaged mitochondria by selective autophagy (mitophagy)...
2017: PloS One
https://www.readbyqxmd.com/read/28053880/adapting-axelrod-s-cultural-dissemination-model-for-simulating-peer-effects
#17
Christian Hofer, Gernot Lechner, Thomas Brudermann, Manfred Füllsack
We present a generic method for considering incomplete but gradually expandable sociological data in agent-based modeling based on the classic model of cultural dissemination by Axelrod. Our method extension was inspired by research on the diffusion of citizen photovoltaic initiatives, i.e. by initiatives in which citizens collectively invest in photovoltaic plants and share the profits. Owing to the absence of empirical interaction parameters, the Axelrod model was used as basis for considering peer effects with contrived interaction data that can be updated from empirical surveys later on...
2017: MethodsX
https://www.readbyqxmd.com/read/28048970/partner-selection-and-emergence-of-the-merit-based-equity-norm
#18
Hirofumi Takesue
The merit-based equity norm is a widely observed principle of fairness in resource distribution, in which the resources acquired by each individual are expected to be proportional to the contribution. Despite the empirical significance of this principle, theoretical progress in evolutionary explanations of the fairness norm has been limited to an egalitarian norm. In this study, we examined the effect of partner selection on the evolution of the merit-based equity norm in a simple bargaining game. Our agent-based model demonstrates that the merit-based equity norm emerges when the agent can choose to continue the current partnership based on the bargaining result, whereas the egalitarian norm arises in a random matching situation...
December 31, 2016: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28045533/computational-model-of-secondary-palate-fusion-and-disruption
#19
M Shane Hutson, Maxwell C K Leung, Nancy Baker, Richard M Spencer, Thomas B Knudsen
Morphogenetic events are driven by cell-generated physical forces and complex cellular dynamics. To improve our capacity to predict developmental effects from chemical-induced cellular alterations, we built a multi-cellular agent-based model in CompuCell3D that recapitulates the cellular networks and collective cell behavior underlying growth and fusion of the mammalian secondary palate. The model incorporated multiple signaling pathways (TGFβ, BMP, FGF, EGF, SHH) in a biological framework to recapitulate morphogenetic events from palatal outgrowth through midline fusion...
January 3, 2017: Chemical Research in Toxicology
https://www.readbyqxmd.com/read/28032590/predicting-the-impact-of-combined-therapies-on-myeloma-cell-growth-using-a-hybrid-multi-scale-agent-based-model
#20
Zhiwei Ji, Jing Su, Dan Wu, Huiming Peng, Weiling Zhao, Brian Nlong Zhao, Xiaobo Zhou
Multiple myeloma is a malignant still incurable plasma cell disorder. This is due to refractory disease relapse, immune impairment, and development of multi-drug resistance. The growth of malignant plasma cells is dependent on the bone marrow (BM) microenvironment and evasion of the host's anti-tumor immune response. Hence, we hypothesized that targeting tumor-stromal cell interaction and endogenous immune system in BM will potentially improve the response of multiple myeloma (MM). Therefore, we proposed a computational simulation of the myeloma development in the complicated microenvironment which includes immune cell components and bone marrow stromal cells and predicted the effects of combined treatment with multi-drugs on myeloma cell growth...
January 31, 2017: Oncotarget
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