### Artificial IntelligenceAIMA Exercises

This question considers representing satisfiability (SAT) problems as CSPs.
1. Draw the constraint graph corresponding to the SAT problem $$(\lnot X_1 \lor X_2) \land (\lnot X_2 \lor X_3) \land \ldots \land (\lnot X_{n-1} \lor X_n)$$ for the particular case $n5$.
2. How many solutions are there for this general SAT problem as a function of $n$?
3. Suppose we apply {Backtracking-Search} (page backtracking-search-algorithm) to find all solutions to a SAT CSP of the type given in (a). (To find all solutions to a CSP, we simply modify the basic algorithm so it continues searching after each solution is found.) Assume that variables are ordered $X_1,\ldots,X_n$ and ${false}$ is ordered before ${true}$. How much time will the algorithm take to terminate? (Write an $O(\cdot)$ expression as a function of $n$.)
4. We know that SAT problems in Horn form can be solved in linear time by forward chaining (unit propagation). We also know that every tree-structured binary CSP with discrete, finite domains can be solved in time linear in the number of variables (Section csp-structure-section). Are these two facts connected? Discuss.

This question considers representing satisfiability (SAT) problems as CSPs.
1. Draw the constraint graph corresponding to the SAT problem $$(\lnot X_1 \lor X_2) \land (\lnot X_2 \lor X_3) \land \ldots \land (\lnot X_{n-1} \lor X_n)$$ for the particular case $n5$.
2. How many solutions are there for this general SAT problem as a function of $n$?
3. Suppose we apply {Backtracking-Search} (page backtracking-search-algorithm) to find all solutions to a SAT CSP of the type given in (a). (To find all solutions to a CSP, we simply modify the basic algorithm so it continues searching after each solution is found.) Assume that variables are ordered $X_1,\ldots,X_n$ and ${false}$ is ordered before ${true}$. How much time will the algorithm take to terminate? (Write an $O(\cdot)$ expression as a function of $n$.)
4. We know that SAT problems in Horn form can be solved in linear time by forward chaining (unit propagation). We also know that every tree-structured binary CSP with discrete, finite domains can be solved in time linear in the number of variables (Section csp-structure-section). Are these two facts connected? Discuss.

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