Raven's Progressive Matrices are a set of visual problems commonly used to measure intelligence. The goal is to design an agent capable of solving these problems just like humans. To design such an agent, I will use a combination of semantic networks and generate and test. Semantic networks are a form of knowledge representation composed of nodes, links, and link labels (Winston, 1977, p. 19). An agent can use this representation of the problem to discern which digit is missing. To begin, the agent must represent each of the given digits, then use generate & test to create the response assuming the same transformations apply. The answer choice that most closely resembles the generated number would be the one the agent chooses as its answer. Say no to plagiarism. Get a custom essay on "Why violent video games should not be banned"?Get an original essay This problem is difficult because there is no "correct" way to represent a Raven Progressive Matrix problem with semantic networks. Figure 1. Challenge Problem D-12 (Raven, J. 2003, p. 235) For example, in the above image of Challenge Problem D-12, it is difficult to initially see what is to be represented. This can be the name of the shape, the orientation of the objects relative to each other, the number of objects and many other possibilities. A simple semantic network to represent the transformation of the first row can be: A: x to the top left of y B: x to the top of y, y to the top of z C: x to the top left of y, y to the left from z, z to the bottom left of w Transformation A to B: x remains the same, a new z on which y is above Transformation B to C: x remains the same, y remains the same, a new w on which z is above Another one that can work might be: A: x is the same as y B: x is the same as y, y is the same as z C: x is the same as y, y is the same as z same as w Transformation A in B: the relationship between x and y is the same, a new z which maintains this relationship. x, y, z are all different shapes compared to the x, yB to C transformation of the last figure: the relationship between x, y and z is the same, a new w which also maintains that. x, y, z, w are all different shapes compared to the x, y, z in the last figure. These 2 knowledge representations can lead to different answers when applied to the last row: G: x top left of y, top right of z H: x top left of y, z top to the right of y, w to the top right of zG to H transformation: new z to the top left of y, new w to the top right of zH to ? transformation: new form a at the top left of z, new form b at the top right of a. Use of the second rule: G: xa the same form as y, y same form as z H: x same form as y, y same form as z, z same form as the transformation wG into H: new forms z, which have the same form as y, and new form w identical to z. The new x,y,z,wa also has a different shape than the last digit x,yH at ? transformation: new form a, which is the same form as z, and new form b, which is the same as a. The new a,b,x,y,z,wa also has a different shape than the last digit x,y,z,w. The first rule will allow you to choose any answer choice that satisfies the transformation rule from H to ?, which is based on the spatial relationships between the new shapes, while the second rule will allow you to choose answers in function of the identity of the shapes and their differences compared to the last figure. Unfortunately, these two rules do not resolve this question, which shows that there can be rules that.