16.410/16.413 Recitation 7 Solutions

ثبت نشده
چکیده

Solution: Let us define the atomic propositions, Julia, Sarah, and Fred to indicate that Julie is telling the truth, Sarah is telling the truth, and Fred is telling the truth, respectively. First notice that if A lies then the opposite of A’s statement is true, i.e., if A claims that B and C tell the truth but A lies, then we have “(not A) implies (not(B and C))”, which is equivalent to “(not A) implies ((not B) or (not C))” by de Morgan’s law. Now we can write the following several statements, each of which is true for the given English sentence. A1. Julia implies (Sarah and Fred) A2. (not Julie) implies ((not Sarah) or (not Fred)) A3. Sarah implies (not Peter) A4. (not Sarah) implies Peter A5. Peter implies Fred A6. (not Peter) implies (not Fred) A7. Fred implies ((not Peter) or (not Julia)) A8. (not Fred) implies (Peter and Julia) A9. Dick implies (not Dick) A10. (not Dick) implies Dick The sentence is basically a conjunction of the all the statements above, i.e., (Julia implies (Sarah and Fred)) and ((not Julie) implies ((not Sarah) or (not Fred))) and (Sarah implies (not Peter)) and ((not Sarah) implies Peter) and (Peter implies Fred) and ((not Peter) implies (not Fred)) and (Fred implies ((not Peter) or (not Julia))) and ((not Fred) implies (Peter and Julia)) (Dick implies (not Dick)) and ((not Dick) implies Dick)

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

16.410/16.413 Recitation 9 Solutions

Solution One admissible heuristic (that works for every problem) is to write H(n) = 0 for all nodes n. This heuristic is clearly admissible, since the actually cost to go is always positive, thus larger than H(n) = 0. A second admissible heuristic is the max distance (also known as the L∞ distance) of the node to the goal point, computed as follows. Denote the coordinates of the goal by g = (xg...

متن کامل

16.410/16.413 Project Part 2

Your work in building an effective activity planner using a SAT solver was great success, and was wellappreciated in your company. Your hard work has paid off. Given a task including shipping cargo, crude navigation, or science experimentation, your planner figures out a correct sequence of actions that does the job. However, most of the time, the task involves navigating between the sites, for...

متن کامل

Discrete Time Markov Chains : Ergodicity Theory

Lecture 8: Discrete Time Markov Chains: Ergodicity Theory Announcements: 1. We handed out HW2 solutions and your homeworks in Friday’s recitation. I am handing out a few extras today. Please make sure you get these! 2. Remember that I now have office hours both: Wednesday at 3 p.m. and Thursday at 4 p.m. Please show up and ask questions about the lecture notes, not just the homework! No one cam...

متن کامل

Recitation 7: Empirics and Theory on Monetary Policy Design

Over the last couple of weeks in lectures, we have considered optimal monetary policy in the baseline model and in models with extensions. Professor Gali provided an empirical overview of monetary policy rules in di¤erent periods, for example the US experience preand post-Volcker. In the context of cost-push shocks, we discussed monetary policy with and without commitment. This recitation hando...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010