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Chapter 4: Problem 58

Define a rule that says that a person is a "big shot" in a division if the person works in the division but does not have a supervisor who works in the division.

Short Answer

Expert verified
A "big shot" works in a division without a supervisor in the division.

Step by step solution

01

Understand the role and division criteria

To be considered a "big shot" in a division, a person must meet two conditions: they work within the division, and they do not have a supervisor within the same division. This implies a person should belong to a special category of independence within the division.
02

Define the rule component for division membership

The first part of the rule sets the requirement that the person must work in the division. This can be represented in pseudocode or logic as "works_in_Division(person, division)".
03

Define the rule component for absence of supervision

The second condition requires that there is no supervisor in the same division. This can be represented as a negation of having a supervisor in the division: "not exists supervision_in_Division(supervisor, division)" where the person has a supervisor.
04

Combine rule components

Combine the two conditions into a single rule. The rule can be described as: a person is a "big shot" in division D if they fulfill the condition "works_in_Division(person, D) and not exists supervision_in_Division(supervisor_of(person), D)".

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Rule Definition
In logical programming, defining a rule involves setting precise conditions that must be met to categorize or identify a subject according to specified criteria. In our case, the rule aims to determine when someone is considered a "big shot" in a division. For this designation, a person needs to fulfill two crucial conditions:
  • They must work within the division.
  • They should not have a supervisor who also works in the same division.
These conditions highlight an individual's independence within their working environment. It's a unique status where the person's professional actions aren't directly overseen by someone in the same division.
Pseudocode
Pseudocode is a way to outline logic in a human-readable format that mimics code structure. It helps in planning and visualizing how a rule will function in a programmatic sense. For the rule in question, pseudocode provides a straightforward way to express the logic needed to identify a "big shot":
  • Check if a person works in the division: `works_in_Division(person, division)`.
  • Ensure there is no supervisor for this person within the division: `not exists supervision_in_Division(supervisor_of(person), division)`.
  • Combine both conditions: If both are true, then the person is a "big shot".
Using pseudocode simplifies understanding the logical flow, bridging the gap between human reasoning and machine execution.
Division Criteria
Division criteria in this context specify the exact conditions under which a person can be included or excluded from the category of a "big shot." These criteria serve as the backbone of the whole rule. Primarily, a person must be a member of the division, confirming they work within it. However, the uniqueness of these criteria lies in their exclusivity; the rule is only met if there is no one with the authoritative designation of supervisor over them within the same divison.
  • This distinction clarifies the independence a "big shot" should have.
  • Understanding this clearly defined criterion helps in reliably sorting individuals into the "big shot" category.
By setting these standards so precisely, it ensures an accurate identification process.
Condition Checking
Condition checking is a critical part of implementing logic rules. It refers to the process used by a computer to verify whether specified conditions are true or false. In our rule for identifying a "big shot," two main conditions need checking:
  • Does the individual work in the specified division?
  • Is there a lack of a supervisor in the same division?
These checks have to be thorough and efficient. If both checks return true, then the person qualifies as a "big shot."
Condition checking ensures that the conclusion drawn aligns with the logical rule previously defined, using programming structures to translate real-world assessments into computational decisions.

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Most popular questions from this chapter

Ben Bitdiddle tests the lazy list implementation given above by evaluating the expression \(\left(\right.\) car \(^{\prime}(\) a b c) \()\) To his surprise, this produces an error. After some thought, he realizes that the "lists" obtained by reading in quoted expressions are different from the lists manipulated by the new definitions of cons, car, and cdr. Modify the evaluator's treatment of quoted expressions so that quoted lists typed at the driver loop will produce true lazy lists.

In section \(4.4 .3\) we saw that not and lisp-value can cause the query language to give "wrong" answers if these filtering operations are applied to frames in which variables are unbound. Devise a way to fix this shortcoming. One idea is to perform the filtering in a "delayed" manner by appending to the frame a "promise" to filter that is fulfilled only when enough variables have been bound to make the operation possible. We could wait to perform filtering until all other operations have been performed. However, for efficiency's sake, we would like to perform filtering as soon as possible so as to cut down on the number of intermediate frames generated.

Ben Bitdiddle has missed one meeting too many. Fearing that his habit of forgetting meetings could cost him his job, Ben decides to do something about it. He adds all the weekly meetings of the firm to the Microshaft data base by asserting the following: (meeting accounting (Monday 9am)) (meeting administration (Monday 10am)) (meeting computer (Wednesday 3pm)) (meeting administration (Friday 1pm)) Each of the above assertions is for a meeting of an entire division. Ben also adds an entry for the company-wide meeting that spans all the divisions. All of the company's employees attend this meeting. (meeting whole-company (Wednesday \(4 \mathrm{pm}\) )) a. On Friday morning, Ben wants to query the data base for all the meetings that occur that day. What query should he use? b. Alyssa P. Hacker is unimpressed. She thinks it would be much more useful to be able to ask for her meetings by specif ying her name. So she designs a rule that says that a person's meetings include all whole-company meetings plus all meetings of that person's division. Fill in the body of Alyssa's rule. (rule (meeting-time ?person ?day-and-time) \(\langle\) rule-body \(\rangle\) ) c. Alyssa arrives at work on Wednesday morning and wonders what meetings she has to attend that day. Having defined the above rule, what query should she make to find this out?

Notice that we cannot tell whether the metacircular evaluator evaluates operands from left to right or from right to left. Its evaluation order is inherited from the underlying Lisp: If the arguments to cons in list-of-values are evaluated from left to right, then list-of-values will evaluate operands from left to right; and if the arguments to cons are evaluated from right to left, then list-of-values will evaluate operands from right to left. Write a version of list-of-values that evaluates operands from left to right regardless of the order of evaluation in the underlying Lisp. Also write a version of list-of-values that evaluates operands from right to left.

In this exercise we implement the method just described for interpreting internal definitions. We assume that the evaluator supports let (see exercise 4.6). a. Change lookup-variable-value (section 4.1.3) to signal an error if the value it finds is the symbol *unassigned*. b. Write a procedure scan-out-defines that takes a procedure body and returns an equivalent one that has no internal definitions, by making the transformation described above. c. Install scan-out-defines in the interpreter, either in make-procedure or in procedure-body (see section 4.1.3). Which place is better? Why?
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