Sentences with phrase «model complex behavior»

Not exact matches

But as Temin and Vines show, history is much more usefully seen as the evolution of often complex institutions — financial, political, legal, cultural, and so on — through which economic behavior is mediated and which affect the ways in which recurring patterns of finance, commerce and trade unfold, and that without an understanding of history we lose so much complexity in our models that we often end up making very obvious mistakes.
While several circulatory system models are used today in an attempt to better understand blood flow, they still don't account for the complex rheological behavior of blood.
Though simple, the model gave rise to surprisingly complex group behaviors such as migration, combat, and neighborhood segregation.
When trying to model how behaviors and traits evolved, it helps to keep things simple — but the problem with friendship is that it involves a number of complex behaviors.
«A classical framework doesn't apply to this complex system,» said Sankaranarayanan, who helped to create complex models of the perovskite's behavior at Argonne's Center for Nanoscale Materials and Argonne Leadership Computing Facility, both DOE Office of Science User Facilities.
By using the smaller and less complex cricket brain as a model, Dr. Adamo hopes to uncover more broad patterns of nervous system function in both immune responses and, of course, behavior.
To that end, researchers developed a complex model that simulates the behavior of a power distribution system, accounting for the SSTs, renewable energy sources, and energy storage.
«The existence of a motif means our predictive model can be based on a relatively simple mathematical formula rather than on more complex econometrics that try to account for all the different types of human behavior,» says González, the Gilbert Winslow Career Development Assistant Professor in MIT's Department of Civil and Environmental Engineering (CEE).
Using an animal model of this syndrome, scientists from the Florida campus of The Scripps Research Institute (TSRI) have discovered that mutations in PTEN affect the assembly of connections between two brain areas important for the processing of social cues: the prefrontal cortex, an area of the brain associated with complex cognitive processes such as moderating social behavior, and the amygdala, which plays a role in emotional processing.
Initiated in 2002, QuakeSim uses NASA remote sensing and other earthquake - related data to simulate and model the behavior of faults in 3 - D both individually and as part of complex, interacting systems.
This work has improved the Laboratory's ability to model the behavior of complex explosive systems.
«Less spatially detailed models often struggle to simulate the jet stream's complex behavior,» said Dr. Jian Lu, PNNL Earth systems scientist, lead author of the paper.
Biocellion is being used to model a variety of biological system behaviors, such as biofilm formation and wrinkling, microbial growth dynamics in complex soil structure, brain tumor growth and invasion, formation of complex bacterial colonies, and changes in blood vessels and skin cells.
Predicting climate change is one of the most complex problems facing scientists who have been striving to understand climate system behavior and improve Earth system models for years.
Major current projects include 1) Evaluating pesticide exposure and risk to wild bees and managed honey bees in different landscapes, 2) Combining empirical data with network modeling to understand pathogen transmission in complex plant - pollinator networks, and 3) Understanding how pesticide and pathogen stress influence bee behavior and delivery of pollination services to agriculturally important crops.
Before starting to write my assignment on Chis - Square test, I had to understand different behaviors of variables by using complex mathematical and statistical modeling.
«While this boom / bust pattern is familiar to macroeconomists, who have developed complex models for generating business cycles, there may be a simpler explanation based on human behavior.
Given a spatially and temporally sparse set of point measurements of the behavior of a complex but well understood system, the best way to estimate the overall system behavior is arguably to build a robust model of its physics and train that over time to reproduce the measurement field.
Since you elected not to address the issue of models capability to represent critically - important glaciation - deglaciation episodes, now I have developed an impression that certain climate scentists have to learn a lot more about possibilities that are hidden in behavior of a large and complex dynamical system.
Another example can be drawn from the energy balance model calculations for the snow / ice instability — despite all the details not in the original energy balance model, much more complex general circulation models have now been shown to have the same behavior — a citation from 1994 -LRB-!)
Mathematical models allow scientists to simulate the behavior of complex systems (like climate) and explore how these systems respond to natural and human factors.
Oddly and despite being dynamically complex systems themselves — the models (and most of the scientists) have missed this element of dynamically complex behavior.
Without doubt mathematical models are acknowledged to have great limitations in predicting behaviors of complex systems and for this reason if model outputs are to be used to support climate change policies all the limitations of models should be acknowledged and understood.
I have a strong background and continuing personal interest in the behavior and modeling of complex systems and in particular their transient behavior.
This, plus the fact that remarkable close simulations of the time series are obtained with a model consisting of a few nonlinear differential equations suggest the intriguing possibility that there are simple rules governing the complex behavior of global paleoclimate.»
In a system such as the climate, we can never include enough variables to describe the actual system on all relevant length scales (e.g. the butterfly effect — MICROSCOPIC perturbations grow exponentially in time to drive the system to completely different states over macroscopic time) so the best that we can often do is model it as a complex nonlinear set of ordinary differential equations with stochastic noise terms — a generalized Langevin equation or generalized Master equation, as it were — and average behaviors over what one hopes is a spanning set of butterfly - wing perturbations to assess whether or not the resulting system trajectories fill the available phase space uniformly or perhaps are restricted or constrained in some way.
However, my view is that these dynamic models are sufficiently complex that incorporating a new physical reality can substantially change the behavior of these models.
The models can not be relied on to replicate the behavior of the real climate, Specifically, the climate is an enormously complex non-linear system, with a vast number of synergies, redundancies, and feedback loops internal to its operation.
You probably know this but it's worth pointing out that some more complex models (e.g., CCSM3, e.g., Liu et al 2009) do not exhibit AMOC hysteresis behavior (although see Hawkins et al., GRL).
In this way, the engine allows the user to model more complex conversational flows like switching of conversation topics during a chat or getting contextual information from for example website browsing behavior
Category: Modeling Social and Emotional Skills, Practicing Social and Emotional Skills Tags: Assertive skills, Communication, Complex emotions, Emotional vocabulary, Hot chocolate breathing, Logical consequences, Managing anger, Model calming down, Power struggles, Relationship skills, Revenge behaviors, Self awareness, Teach ways to deal with anger
Summary: (To include comparison groups, outcomes, measures, notable limitations) This paper examined Combined Parent - Child Cognitive - Behavioral Therapy (CPC - CBT), a treatment model that addresses the complex needs of the parent who engages in physically abusive behavior and the traumatized child.
Nested path analyses were used to evaluate increasingly complex models of influence, including transactional relations between child and parent, effects from contextual strain to parenting and child adaptation, and reciprocal effects from child and parent behavior to contextual strain.
Recent advances in our understanding of the behavior of complex natural systems via dynamic systems theory may shed new light on the process of strategic family therapy and help us understand more fully the underlying purposes of the preferred therapeutic stance and clinical interventions of this model.
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