Answer:
'='
Explanation:
The equal ('=') is the character that is used to assign the value in the programming.
In the programming, there is a lot of character which has different meaning and uses for a different purpose.
like '==' it is used for checking equality between the Boolean.
'+' is a character that is used for adding.
'-' is a character that is used for subtraction.
similarly, '=' used for assigning.
for example:
a = a + b;
In the programming, the program evaluates the (a + b) first and then the result assigns to the variable.
B. Artificial General Intelligence (AGI)
The term that is described in the question is A. Artificial Narrow Intelligence.
Artificial intelligence simply means the ability of a computer system to automatically make decisions based on the input value received.
Artificial Narrow Intelligence is the computer's ability to do a single task well. It's used in today’s email spam filters, speech recognition, and other specific applications.
Read related link on:
Answer:
A. Artificial Narrow Intelligence.
Explanation:
Artificial intelligence is the ability of a computer system, with the help of programming, automatically make decisions as humanly as possible, based on the input value received. There are three types of artificial intelligence, namely, artificial narrow intelligence (ANI), artificial general intelligence (AGI) and artificial super intelligence (ASI).
ANI is focus on executing one specific task extremely well like web crawler, speech recognition, email spam filters etc. AGI is meant to handle human intellectual task, while ASI performs task beyond human intellect.
Lists are used in Python to hold multiple values in one variable
(a) Nested list
A nested list is simply a list of list; i.e. a list that contains another list.
It is also called a 2 dimensional list.
An example is:
nested_list = [[ 1, 2, 3, 4] , [ 5, 6, 7]]
(b) The “*” operator
The "*" operator is used to calculate the product of numerical values.
An example is:
num1 = num2 * num3
List slices
This is used to get some parts of a list; it is done using the ":" sign
Take for instance, you want to get the elements from the 3rd to the 5th index of a list
An example is:
firstList = [1, 2 ,3, 4, 5, 6, 7]
secondList = firstList[2:5]
The “+=” operator
This is used to add and assign values to variables
An example is:
num1 = 5
num2 = 3
num2 += num1
A list filter
This is used to return some elements of a list based on certain condition called filter.
An example that prints the even elements of a list is:
firstList = [1, 2 ,3, 4, 5, 6, 7]
print(list(filter(lambda x: x % 2 == 0, firstList)))
A valid but wrong list operation
The following operation is to return a single list, but instead it returns as many lists as possible
def oneList(x, myList=[]):
myList.append(x)
print(myList)
oneList(3)
oneList(4)
Read more about Python listsat:
∃x (P(x) ∧ D(x))
Negation: ¬∃x (P(x) ∧ D(x))
Applying De Morgan's law: ∀x (¬P(x) ∨ ¬D(x))
English: Every patient was either not given the placebo or not given the medication (or both).
(a) Every patient was given the medication.
(b) Every patient was given the medication or the placebo or both.
(c) There is a patient who took the medication and had migraines.
(d) Every patient who took the placebo had migraines. (Hint: you will need to apply the conditional identity, p → q ≡ ¬p ∨ q.)
Answer:
P(x): x was given the placebo
D(x): x was given the medication
M(x): x had migraines
Explanation:
(a) Every patient was given the medication
Solution:
∀x D(x)
∀ represents for all and here it represents Every patient. D(x) represents x was given the medication.
Negation:¬∀x D(x).
This is the negation of Every patient was given the medication.
The basic formula for De- Morgan's Law in predicate logic is:
¬(P∨Q)⇔(¬P∧¬Q)
¬(P∧Q)⇔(¬P∨¬Q)
Applying De Morgan's Law:
∃x ¬D(x)
∃ represents there exists some. As D(x) represents x was given the medication so negation of D(x) which is ¬D(x) shows x was not given medication. So there exists some patient who was not given the medication.
Logical expression back into English:
There was a patient who was not given the medication.
(b) Every patient was given the medication or the placebo or both.
Solution:
∀x (D(x) ∨ P(x))
∀ represents for all and here it represents Every patient. D(x) represents x was given the medication. P(x) represents x was given the placebo. V represents Or which shows that every patient was given medication or placebo or both.
Negation: ¬∀x (D(x) ∨ P(x))
This is the negation or false statement of Every patient was given the medication or the placebo or both.
Applying De Morgan's Law:
∃x (¬D(x) ∧ ¬P(x))
∃ represents there exists some. As D(x) represents x was given the medication so negation of D(x) which is ¬D(x) shows x was not given medication. As P(x) represents x was given the placebo so negation of P(x) which is ¬P(x) shows x was not given placebo. So there exists some patient who was neither given medication nor placebo.
Logical expression back into English:
There was a patient who was neither given the medication nor the placebo.
(c) There is a patient who took the medication and had migraines.
Solution:
∃x (D(x) ∧ M(x))
∃ represents there exists some. D(x) represents x was given the medication. M(x) represents x had migraines. ∧ represents and which means patient took medication AND had migraines. So the above logical expression means there exists a patient who took medication and had migraines..
Negation:
¬∃x (D(x) ∧ M(x))
This is the negation or false part of the above logical expression: There is a patient who took the medication and had migraines.
Applying De Morgan's Laws:
∀x (¬D(x) ∨ ¬M(x))
∀ represents for all. As D(x) represents x was given the medication so negation of D(x) which is ¬D(x) shows x was not given medication. As M(x) represents x had migraines so negation of ¬M(x) shows x did not have migraines. ∨ represents that patient was not given medication or had migraines or both.
Logical expression back into English:
Every patient was not given the medication or did not have migraines or both.
(d) Every patient who took the placebo had migraines.
Solution:
∀x (P(x) → M(x))
∀ means for all. P(x) represents x was given the placebo. M(x) represents x had migraines. So the above logical expressions represents that every patient who took the placebo had migraines.
Here we are using conditional identity which is defined as follows:
Conditional identity, p → q ≡ ¬p ∨ q.
Negation:
¬∀x (P(x) → M(x))
¬∀ means not all. P(x) implies M(x). The above expression is the negation of Every patient who took the placebo had migraines. So this negation means that Not every patient who took placebo had migraines.
Applying De Morgan's Law:
∃x (P(x) ∧ ¬M(x))
∃ represents there exists some. P(x) represents x was given the placebo. ¬M(x) represents x did not have migraines. So there exists a patient who was given placebo and that patient did not have migraine.
Logical expression back into English:
There is a patient who was given the placebo and did not have migraines.
Answer:
The answer is "O(n2)"
Explanation:
The worst case is the method that requires so many steps if possible with compiled code sized n. It means the case is also the feature, that achieves an average amount of steps in n component entry information.
The keyboards that include all the keys found on a typical virtual keyboard including function and navigation keys are called;
Laptops
Read more at; https://brainly.in/question/11722276
Answer:
multimedia keyboard i think
Explanation:
Answer:
a. Availability of software licensing
Explanation:
With feasibility analysis, we take into consideration economic, technical, legal, and scheduling factors to make sure that our project completes successfully. Acquiring license for a software can be free of cost or paid subscription. So a business analyst needs to make an account of the cost of accessing the software services. Also while automating a software installation process, it would require automatic authentication which would again require details of licensing. So in my best knowledge, analyzing availability of software licensing is a must and foremost step for a feasibility study.