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So central is intention-recognition to understanding language that the code model, with autonomous semantics at its core, should largely be abandoned in favor of the inferential model.
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(1) We develop a non-autonomous model with Dirichlet boundary conditions by using PDEs on social networks.
In this paper, we propose the following autonomous logistic model with regular harvest pulse: begin{gathered} dot{x}(t)=x t) bigl r-ax t) bigl r-ax tt neq t_{k}, xbigr(t^_{k}bigr)= biggl(1- frac{gamma}{alpha+beta x(t_{k})} biggr)x(t_{k}),quad t=t_{k}, eneqgat_{k}d} (1.4) together with the initial condition {xbigl>0.
This paper is organized as follows: Section 2 introduces a non-autonomous SIR model with age structure.
2, a non-autonomous PDE model with Dirichlet boundary conditions is developed in n-dimensional space (mathbb{R}^{n}).
Moreover, the dynamic properties of a non-autonomous logistic model with Dirichlet boundary conditions are obtained by constructing upper and lower solutions.
We carry out a simulation of the female population of the USA using the non-autonomous Lotka McKendrick model with finite maximum age and recent demographic data.
In this paper, we formulate a two-dimensional autonomous predator-prey model with state-dependent impulsive effects and square root response function.
An agent-based system employs a computational model of autonomous interacting agents in an environment with the purpose of assessing the emergent behavior of the group.
Results provide preliminary support for the model and evidence that autonomous motivation toward mathematics activities in the classroom is linked with autonomous motivation, intention, behavior and actual attainment in mathematics homework outside of school.
Liu and Wang [19] considered a two-species non-autonomous predator-prey model with white noise.
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