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This work is concerned with a class of plate equations with memory and p-laplacian operator with simply supported boundary condition, where Ω is a bounded domain
of RN; g > 0 is a memory kernel that decays exponentially and f(u) is a nonlinear perturbation. This kind of problem without the memory term models elastoplastic flows  

To provide a stable foundation for human knowledge Descartes presumed that human being is composed of two distinct substances, the mind and the body. But, the solution through which he wanted to explain the correlation between these substances, was not accepted by other philosophers, and thereafter this problem was known as mind-body problem. This problem arises some other philosophical problems including solipsism and the problem of other minds. In this thesis, considering the grammar of such words like memory, understanding, and thinking I will show that having an exact description of these concepts we would be able to escape from these inclination to seek something behind these words, and... 

Reinforcement learning is one of the most well-known learning paradigms in biological agents and one of the most used ones for solving plenty of problems. One of the reasons for this widespread use is the low demand for supervising signals. However, the sparsity of the reward signal causes increasing in sample complexity that needs for learning new tasks. This issue makes trouble in multi-task settings, specifically.One of the most promising approaches to learning new tasks by limited interaction with the environment is meta reinforcement learning. An approach in which fast adaption becomes possible by limiting hypothesis space and creating inductive biases by learning meta parameters....