Propose a 3rd admissible heuristic (h3). Give examples of 4 arbitrary initial state configurations of the puzzle.  Calculate the 3 heuristic values for each of the four configurations. Which heuristic seems to be the most dominant among these four? Why? Provide an intuitive reasoning.

Choose a real-world situation that involves three distinct Venn diagrams. Justify the use of a Venn diagram and explain why it makes sense here. Expound upon the value of the intersection and union of the separate sets.

Choose a real-world scenario with several possible Venn diagram solutions. Justify your selection of a Venn diagram for this task. Explain why it's crucial for the various groups to intersect and merge.

a. How to answer Candidate States and analysis for below diagram based on State Machine Diagram and drawing each stage of identification with hand drawing?b. How to answer Candidate Events and analysis (optional Guard and Seq. of Action) for below diagaram based on State Machine Diagram and drawing each stahe of identification with hand?c. How to answers Transitions between each State (required to have a Composite States of type Orthogonal, choose from one of the States that can be detailed) for below diagram based on State Machine Diagram and drawing each stage of identification with hand? - All reference to answers above questions are state machine on Object Oriented Modeling

Is a self-transition mandatory in every State Diagram? Provide evidence to support your response!

can you help me with this question please ?

C.W. Churchman once said that "Mathematics...tends to lull the unsuspecting that he who thinks elaborately thinks well." Do you think that the best QA Models are the ones that are most elaborate and complex Mathematically? Why?

What exactly is a perceptron network model? How may this approach be utilised for basic linear classification, in which objects are classified into two groups based on a linear border and two feature dimensions? To demonstrate how basic logic rules (such as AND and OR) work? In a perceptron model, what logical operation does not work? In a perceptron model, what logical operation does not work? What easy changes may be made to create a simple feedforward network model capable of modelling all fundamental logic operations?

Solve the following. You can write your answers on paper and submit them, or use whatever online tools allow you to submit a PDF. Everyone needs to submit their own work. 1. Determine the logic function and the truth table for Figure 1. X1 X3 X2 -f Figure 1: Stylized System Diagram for Question 1 2. Given the logic function, f (x1, x2, x3) = x1 • x3 + (x2 · x3)/ write the truth table and draw the logic network. Compute the cost of the network. Submit your answer online. If you wrote your answers on paper and don't have access to a document scanner, Adobe Scan from Google Play and the Apple Store is one option (there are many other scanning apps that use your phone - feel free to suggest others on the Slack channel that you've found useful). You can use this to create a single PDF document of your work and then submit to Canvas.

PLEASE EXPLAIN ALL STEPS: This question has been answered multiple times, clearly by the same tutor, but I am seeing inconsistencies within the values, the explanation does not explain how these steps are accomplished, and I would very much appreciate another approach so that I do not continue to waste questions on explanations that are not providing any real understanding. Simplify the boolean equations using FIRST a truth table (one table for a, one table for b) and THEN forming a k-map (one k-map for a, one k-map for b): a. xz + (xy + ~z) b. ~xyz + yz + x~y