Comparing Two Articles on Architecture

In the history of architecture, there are often differences between what the architect wants to design and what the client wants. In fact, sometimes architects make excellent designs and earn rewards for their designs, but customers and users may be disliking it. Stater (2002) and Misra (2002) discussed this problem in very different ways. In the article "It's not just a cricket", Stater (2002) explains the relationship between architects and customers in different situations, taking two buildings as examples.

The purpose of this article is to outline a typical architecture for constructing an interactive AI chat bot. (Note - the architecture and terminology cited in this article is largely due to my understanding of the rasa-core open source software). This is a chat bot. In this article, for the sake of simplicity, assuming that the user enters text, the bot responds to the appropriate message in text format (hence picking up ASR, speech recognition, speech synthesis, speech synthesis, etc.) not). The following architectures can be extended using these components as needed.

In the first part of this article we will compare the three GoodAI architecture development roadmaps and explain the techniques for comparing them. The main purpose is to estimate the possibility and completeness of the plan of each architecture and as a result we can turn our efforts to the most promising architecture. In order to manage the addition of roadmap from other team, we developed a master plan for human AI development called Meta Road Map. This meta road map contains 10 steps necessary to achieve "final" goal. Most of the plans that may be completely different wish to solve one or more problems in the meta road map.

I'm interested in finding a numerical solution on the grid and approximating it with some kind of neural network architecture. In this paper, we use a very simple neural structure consisting of a single input neuron (2 in the 2D problem), a hidden layer, and an output neuron to predict the value of the exact point solution on the mesh I will. . The main problem is how to convert the equation integration problem with the optimization equation. For example, consider the initial condition (IC) and the boundary condition (BC) and minimize the error between the analysis (if any) and the numerical solution. In the paper (1), you can see that the problem is converted to the following equation.